<-- status of connection to OxCGRT database
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:
|
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)
|
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:
|
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 |
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. Under our pre-July 2022 data structure, we also used to publish files designated latest_allchanges
, latest_responses
, and latest_combined
. We are still working on recreating these with our new differentiated data structure. For now you can still access the older versions on our legacy repo.
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 |
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 |