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Global COVID-19 Pandemic Data Archive
Patient Health Records & Digital Health
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About
This dataset offers worldwide COVID-19 statistics and related indicators, tracking the pandemic's progression and impact from 1st January 2020 to 8th February 2023. It provides granular daily data for various geographical locations, enabling analysis of confirmed cases, deaths, testing efforts, vaccination campaigns, and government response stringency. Additionally, it includes contextual demographic and economic attributes such as population density, median age, GDP per capita, and health system capacities, allowing for a deeper understanding of factors influencing COVID-19 outcomes.
Columns
- iso_code: ISO 3166-1 alpha-3 – three-letter country codes.
- continent: Continent of the geographical location.
- location: Geographical location.
- date: Date of observation.
- total_cases: Total confirmed cases of COVID-19.
- new_cases: New confirmed cases of COVID-19.
- new_cases_smoothed: New confirmed cases of COVID-19 (7-day smoothed).
- total_cases_per_million: Total confirmed cases of COVID-19 per 1,000,000 people.
- new_cases_per_million: New confirmed cases of COVID-19 per 1,000,000 people.
- new_cases_smoothed_per_million: New confirmed cases of COVID-19 (7-day smoothed) per 1,000,000 people.
- total_deaths: Total deaths attributed to COVID-19.
- new_deaths: New deaths attributed to COVID-19.
- new_deaths_smoothed: New deaths attributed to COVID-19 (7-day smoothed).
- total_deaths_per_million: Total deaths attributed to COVID-19 per 1,000,000 people.
- new_deaths_per_million: New deaths attributed to COVID-19 per 1,000,000 people.
- new_deaths_smoothed_per_million: New deaths attributed to COVID-19 (7-day smoothed) per 1,000,000 people.
- excess_mortality: Percentage difference between reported weekly or monthly deaths in 2020–2021 and projected deaths based on previous years.
- excess_mortality_cumulative: Percentage difference between the cumulative number of deaths since 1 January 2020 and the cumulative projected deaths for the same period based on previous years.
- excess_mortality_cumulative_absolute: Cumulative difference between the reported number of deaths since 1 January 2020 and the projected number of deaths for the same period based on previous years.
- excess_mortality_cumulative_per_million: Cumulative difference between the reported number of deaths since 1 January 2020 and the projected number of deaths for the same period based on previous years, per million people.
- icu_patients: Number of COVID-19 patients in intensive care units (ICUs) on a given day.
- icu_patients_per_million: Number of COVID-19 patients in intensive care units (ICUs) on a given day per 1,000,000 people.
- hosp_patients: Number of COVID-19 patients in the hospital on a given day.
- hosp_patients_per_million: Number of COVID-19 patients in hospital on a given day per 1,000,000 people.
- weekly_icu_admissions: Number of COVID-19 patients newly admitted to intensive care units (ICUs) in a given week.
- weekly_icu_admissions_per_million: Number of COVID-19 patients newly admitted to intensive care units (ICUs) in a given week per 1,000,000 people.
- weekly_hosp_admissions: Number of COVID-19 patients newly admitted to hospitals in a given week.
- weekly_hosp_admissions_per_million: Number of COVID-19 patients newly admitted to hospitals in a given week per 1,000,000 people.
- stringency_index: Government Response Stringency Index: a composite measure based on 9 response indicators, rescaled from 0 to 100 (100 = strictest response).
- reproduction_rate: Real-time estimate of the effective reproduction rate (R) of COVID-19.
- total_tests: Total tests for COVID-19.
- new_tests: New tests for COVID-19 (only calculated for consecutive days).
- total_tests_per_thousand: Total tests for COVID-19 per 1,000 people.
- new_tests_per_thousand: New tests for COVID-19 per 1,000 people.
- new_tests_smoothed: New tests for COVID-19 (7-day smoothed).
- new_tests_smoothed_per_thousand: New tests for COVID-19 (7-day smoothed) per 1,000 people.
- positive_rate: The share of COVID-19 tests that are positive, given as a rolling 7-day average.
- tests_per_case: Tests conducted per new confirmed case of COVID-19, given as a rolling 7-day average.
- tests_units: Units used by the location to report its testing data.
- total_vaccinations: Total number of COVID-19 vaccination doses administered.
- people_vaccinated: Total number of people who received at least one vaccine dose.
- people_fully_vaccinated: Total number of people who received all doses prescribed by the vaccination protocol.
- total_boosters: Total number of COVID-19 vaccination booster doses administered.
- new_vaccinations: New COVID-19 vaccination doses administered (only calculated for consecutive days).
- new_vaccinations_smoothed: New COVID-19 vaccination doses administered (7-day smoothed).
- total_vaccinations_per_hundred: Total number of COVID-19 vaccination doses administered per 100 people in the total population.
- people_vaccinated_per_hundred: Total number of people who received at least one vaccine dose per 100 people in the total population.
- people_fully_vaccinated_per_hundred: Total number of people who received all doses prescribed by the vaccination protocol per 100 people in the total population.
- total_boosters_per_hundred: Total number of COVID-19 vaccination booster doses administered per 100 people in the total population.
- new_vaccinations_smoothed_per_million: New COVID-19 vaccination doses administered (7-day smoothed) per 1,000,000 people in the total population.
- new_people_vaccinated_smoothed: Daily number of people receiving their first vaccine dose (7-day smoothed).
- new_people_vaccinated_smoothed_per_hundred: Daily number of people receiving their first vaccine dose (7-day smoothed) per 100 people in the total population.
- population: Latest available values of population.
- population_density: Number of people divided by land area, measured in square kilometres, most recent year available.
- median_age: Median age of the population, UN projection for 2020.
- aged_65_older: Share of the population that is 65 years and older, most recent year available.
- aged_70_older: Share of the population that is 70 years and older in 2015.
- gdp_per_capita: Gross domestic product at purchasing power parity (constant 2011 international dollars), most recent year available.
- extreme_poverty: Share of the population living in extreme poverty, most recent year available since 2010.
- cardiovasc_death_rate: Death rate from cardiovascular disease in 2017 (annual number of deaths per 100,000 people).
- diabetes_prevalence: Diabetes prevalence (% of the population aged 20 to 79) in 2017.
- female_smokers: Share of women who smoke, most recent year available.
- male_smokers: Share of men who smoke, most recent year available.
- handwashing_facilities: Share of the population with basic handwashing facilities on-premises, most recent year available.
- hospital_beds_per_thousand: Hospital beds per 1,000 people, most recent year available since 2010.
- life_expectancy: Life expectancy at birth in 2019.
- human_development_index: A composite index measuring average achievement in three basic dimensions of human development.
Distribution
This data product is presented across two CSV files:
owid-covid-data.csv and owid-covid-latest.csv. The owid-covid-data.csv file contains historical COVID-19 data up to 7th February 2023, while owid-covid-latest.csv contains data from 8th February 2023 onwards. The main dataset, owid-covid-data.csv, has a file size of 81.09 MB and contains 67 columns with 303,000 entries (rows) for key attributes such as iso_code, location, date, and population. Data availability for specific columns like ICU patients, hospital admissions, testing, and vaccination records may vary, with some having a higher percentage of missing values.Usage
This dataset is ideal for:
- Visualising trends in COVID-19 cases, deaths, and vaccinations over time and across different regions.
- Performing time series analysis to identify patterns and predict future developments of the pandemic.
- Conducting public health research to assess the effectiveness of various interventions and policies.
- Studying mortality impacts, including excess mortality, to understand the broader health consequences of the pandemic.
- Examining the relationship between socio-economic indicators (e.g., GDP per capita, median age) and pandemic outcomes.
Coverage
- Geographic: The dataset covers worldwide locations, featuring data for 255 unique countries and territories across 6 continents.
- Time Range: Observations span from 1st January 2020 to 8th February 2023.
- Demographic: Includes various demographic and economic indicators such as population figures, population density, median age, proportions of the aged 65 and older population, GDP per capita, and extreme poverty rates.
- Data Availability: While the core data (cases, deaths) is widely available, some specific metrics like ICU patients, weekly hospital admissions, testing data, and vaccination booster doses may have a higher percentage of missing records depending on the location and date.
License
CC BY-SA 3.0.
Who Can Use It
- Researchers and Academics: For detailed epidemiological studies, economic impact analysis, and policy effectiveness evaluations.
- Data Analysts and Scientists: To build predictive models, create dashboards, and extract insights on global health crises.
- Public Health Officials: For monitoring pandemic spread, resource allocation, and informing public health strategies.
- Journalists and Media Professionals: To report on global COVID-19 developments with data-driven narratives.
- Students: As a valuable resource for projects and learning about data analysis, public health, and global events.
Dataset Name Suggestions
- Global COVID-19 Pandemic Data Archive
- COVID-19 Worldwide Impact Statistics
- Daily Global COVID-19 Trends
- Comprehensive COVID-19 Dataset by Our World in Data
Attributes
Original Data Source: Global COVID-19 Pandemic Data Archive
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