data

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Our data is published as CSV files here in the data folder of our OxCGRT/covid-policy-tracker repository. This is our recommended option to access our data.

The data is provided in several formats – including a simple timeseries format – and subnational data is contained in the specific folders.

Note about subnational files:

• The vaccines_full file in the main folder also contains subnational jurisdictions for the raw V1-V4 vaccine policy indicators (this is not also published in subnational folders). The codebook and index methodology documentation contains more information about what each indicator and index represents.
• We are still in the process of collecting differentiated data for Brazil, China, and India, and so these files are published using our old legacy data format. (More information on our legacy data can be found in our OxCGRT/covid-policy-tracker-legacy repo.)

The following table describes each type of file in turn. Below that, we have simpler tables that break down the files along specific dimensions (eg. which files contain which indicators, which files contain differentiated policies).

Csv file	Jurisdictions	Contains	Reports	Data user notes
latest	All national jurisdictions in one file. Separate folders by country for subnational data	A single variable for each indicator: For C1-C7, H6 and H8, this is the ‘majority’ (M) version For C8 this is C8EV For V1-V4 these are the summary indicators A single average version of each index	Country/territory- and state-level data presented in "country/territory-day" format (or "state-day" as the case may be), with a list of all indicators for each country/territory as a single row each day
differentiated_withnotes (split into 2020, 2021, and 2022 files)	All national jurisdictions in one file. Separate folders by country for subnational data	All versions of C, E, and H indicators (eg. includes E, NV, N, and M versions where there is differentiated coding) Summary variables for V1-V4 Four versions of each index (with different weighting) Detailed notes explaining our policy coding	Reports country/territory- and state-level data in "country/territory-day" format with a column of notes from our data collectors for each indicator	This is the only csv file which contains notes. Split into years due to size
timeseries (multiple CSVs)	All jurisdictions in one file	A single variable for each indicator: For C1-C7, H6 and H8, this is the majority (M) version For C8 this is C8EV For V1-V4 these are the summary indicators A single average version of each index	Country/territory-level data as individual timeseries for each indicator in CSV format, as well as a combined Excel file with a tab for each indicator	Each indicator and index is presented as a separate CSV or a separate worksheet in timeseries.xlsx. Each CSV reports a single indicator arranged in time series format
vaccines_full	All jurisdictions in one file	All vaccine indicators	Country/region/territory data presented in "country/region/territory-day"	This is the only file that contains data for V1-V4 organised by all 53 categories, other files only contain the summary indicators
latest_all_changes	All national jurisdictions in one file	A single variable for each indicator: For C1-C7, H6 and H8, this is the ‘majority’ (M) version For C8 this is C8EV For V1-V4 these are the summary indicators A single average version of each index	Reports country/territory-level data with a list of every change to the database. Every time a policy value changes, or every time a note is added to an indicator, it is represented with its own new row	All indicators, highlights changes in this order: Previous Policy - Current Policy - Current Note - Note used to change policy
latest_combined*	All national jurisdictions in one file. Separate folders by country for subnational data	All national jurisdictions in one file	A single variable for each indicator: For C1-C7, H6 and H8, this is the ‘majority’ (M) version For C8 this is C8EV For V1-V4 these are the summary indicators A single average version of each index	Country/territory- and state-level data in "country/territory-day" format, but gives a single "combined" value for each indicator
latest_responses	All national jurisdictions in one file. Separate folders by country for subnational data	A single variable for each indicator: For C1-C7, H6 and H8, this is the ‘majority’ (M) version For C8 this is C8EV For V1-V4 these are the summary indicators A single average version of each index		Duration of policy codes for a country along with initial notes. Sorted by PolicyType - PolicyCode - Start Date - End Date - Initial Note

Prior to July 2022 we published data in a different structure wihtout this differentiated information. We continue to publish data under that old structure in our legacy repo.

Coverage of specific indicators

We collect data across five different types of policy indicators (C, E, H, M, V). The data that relate to vaccine policy (eg. avaialbility of vaccines to different populations) is spread across over 100 raw variables (as described in our codebook), and so some of our files contain 10 simple summary indicators of this information.

File designation	C	E	H	M	Vaccine summary	Vaccine raw	notes
latest	yes	yes	yes	yes	yes
differentiated_withnotes	yes	yes	yes	yes	yes		yes
timeseries	yes	yes	yes	yes
vaccines_full					yes	yes
latest_all_changes	yes	yes	yes	yes	yes		yes
latest_responses	yes	yes	yes	yes	yes		yes
latest_combined*	yes	yes	yes	yes	yes

*Note: In the latest_combined files, please note that as described in the codebook, many of our indicators are recorded across two variables: one that records the strictness of the policy, and one that records its scope.

• This is reported as a combination of the policy level (a number) and the scope flag (a letter: T for targeted policies or G for general policie; or F/A flags for indicator E1). For instance, for C3_Cancel public events we would have 0, 1T (recommend cancelling in some areas), 1G (recommend cancelling everywhere), 2T (require cancelling in some areas), 2G (require cancelling everywhere).
• We also include a numerical combination, using the same methodology to calculate compenents for our indices: a targeted policy is considered a half-step lower than a general jurisdiction-wide policy. For instance, for C3_Cancel public events we would have 0, 0.5 (recommend cancelling in some areas), 1(recommend cancelling everywhere), 1.5 (require cancelling in some areas), 2 (require cancelling everywhere).

Data relating to differentiated policies

For some of our containment and health indicators (C and H), we differentiate the policies depending on whether they apply to everyone (E), non-vaccinated people (NV), or vaccinated people (V). This information, combined with the vaccination rate, allows us to determine what policy applies to the majority (M) of people. We publish different combinations of this information in different files. (Our codebook has more information about these differentiated policies.)

File designation	E	NV	V	M*
latest				yes
differentiated_withnotes	yes	yes	yes	yes
timeseries				yes
latest_all_changes				yes
latest_responses				yes
latest_combined				yes