Context

There are two datasets.

1. owid-covid-data.csv :- Contains covid data from 1st Jan 2020 to 7th Feb, 2023
2. owid-covid-latest.csv:- Contains covid data from 8th Feb, 2023.

Content

Dataset Attribute Details:

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 the reported number of weekly or monthly deaths in 2020–2021 and the projected number of deaths for the same period 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: composite measure based on 9 response indicators including school closures, workplace closures, and travel bans, rescaled to a value 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). For countries that don't report testing data on a daily basis, we assume that testing changed equally on a daily basis over any periods in which no data was reported. This produces a complete series of daily figures, which is then averaged over a rolling 7-day window 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 (this is the inverse of tests_per_case) tests_per_case: Tests conducted per new confirmed case of COVID-19, given as a rolling 7-day average (this is the inverse of positive_rate) 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 (doses administered beyond the number prescribed by the vaccination protocol) 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). For countries that don't report vaccination data on a daily basis, we assume that vaccination changed equally on a daily basis over any periods in which no data was reported. This produces a complete series of daily figures, which is then averaged over a rolling 7-day window 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 kilometers, 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—a long and healthy life, knowledge, and a decent standard of living.

Acknowledgements

Hasell, J., Mathieu, E., Beltekian, D. et al. A cross-country database of COVID-19 testing. Sci Data 7, 345 (2020)

License

Creative Commons BY license.

Inspiration

visualize the data with the dataset for insights.********