Variation in government responses to COVID-19

Blavatnik School working paper
Samuel Webster
Jessica Anania
Lucy Ellen
Saptarshi Majumdar
Rafael Goldszmidt
Thomas Boby
Noam Angrist
Maria Luciano
Radhika Nagesh
Andrew Wood


Please note this working paper is regularly updated to reflect the changes in data - this is version 12.0 (11 June 2021)

The COVID-19 outbreak has prompted a wide range of responses from governments around the world. There is a pressing need for up-to-date policy information as these responses proliferate, so that researchers, policymakers and the public can evaluate how best to address COVID-19.

We introduce the Oxford COVID-19 Government Response Tracker (OxCGRT), providing a systematic way to track government responses to COVID-19 across countries and sub-national jurisdictions over time. The data is combined into a series of novel indices that aggregate various measures of government responses. These indices are used to describe variation in government responses, explore whether the government response affects the rate of infection, and identify correlates of more or less intense responses.

Latest additions

In order to ensure that our dataset continues to be of value and benefit to the many researchers, governments and public who use it, we continue to adapt and fine-tune our measurements, indicators and indices. With the rapid development and deployment of COVID-19 vaccines, and keeping in line with our goal of collating COVID-19 policy data, we have added three new indicators to the OxCGRT dataset (initially for 24 countries but will be rolled out over time):

  • V1 – Vaccine prioritisation is a categorical indicator that captures eligible and prioritised groups of people (e.g. profession, age, vulnerability, etc.), and shows the the order in which these groups are prioritised for vaccines by their country/region/territory (de jure policy) .
  • V2 – Vaccine eligibility/availability (also a categorical indicator) is linked to V1, and indicates which of the prioritised groups are actually eligible to receive the vaccine (de jure policy) and are actively being vaccinated at that time (de facto policy) . Unplanned categories can be added to V2 that were not captured or accounted for in V1.
  • V3 – Vaccine financial support captures information on whether vaccines are government funded, or otherwise, in an ordinal scale for each category in V2 that is receiving vaccines.