The data produced by third parties and made available by Our World in Data is subject to the license terms from the original third-party authors. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited. This is what is shown in the data in the following = ,Īll visualizations, data, and code produced by Our World in Data are completely open access under the Creative Commons BY license. To make this easier to understand, we have converted the raw data into the seven-day rolling average. The amount of day-to-day variability in the raw data can make it difficult to understand how overall movements are changing over time. The data may therefore reflect some changes in seasonal movements, rather than being fully explained by changes due to the pandemic. This means changes in movement do not take account of seasonal variation – for example, we might expect visitors to parks or outdoor spaces to be higher during the summer. We should also emphasise that change in visitors is measured relative to the baseline period between January and February 2020. Google notes that we should avoid comparing across regions or countries this is because there may be local differences in categories which could be misleading. We present Google’s data in interactive charts below to make it easier to see changes over time in a given country and how specific policies may have affected (or not) behavior across communities. On Google’s website the data is only visualized in pdfs – one for each country. Measuring it relative to a normal value for that day of the week is helpful because people obviously often have different routines on weekends versus weekdays. Baseline days represent a normal value for that day of the week and are given as the median value over the five‑week period from January 3rd to February 6th 2020. grocery stores parks train stations) every day and compares this change relative to baseline days before the pandemic outbreak. This dataset from Google measures visitor numbers to specific categories of location (e.g. Using anonymized data provided by apps such as Google Maps, the company has produced a regularly updated dataset that shows how peoples’ movements have changed throughout the pandemic. We can get some insights on this from the data that Google presents in its COVID-19 Community Mobility Reports. How effective have these policies been in reducing human movement? What impact has it had on how people across the world work live and where they visit? These measures were implemented to slow the spread of the virus by enforcing physical distance between people. To tackle the Coronavirus pandemic, countries across the world have implemented a range of stringent policies, including stay-at-home ‘lockdowns‘ school and workplace closures cancellation of events and public gatherings and restrictions on public transport.
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