"Figure 4: Observing the Oxford Government Response Tracker Index figures, there appears to be an inverse relationship with retail sales across EU and G7 countries","" "Value of Index of deflated turnover of retail trade, except of motor vehicles and motorcycles, Index of Retail Trade Volume, Oxford Government Response Index, 2020","" "","" "Notes","1. For further details on the methodology to calculate the Government Stringency Index, please see [Methodology for calculating indices](https://github.com/OxCGRT/covid-policy-tracker/blob/master/documentation/index_methodology.md). 1. Data for Retail Sales Index is the same as provided in Figure 3. 2. [The Oxford Government Response Tracker](https://covidtracker.bsg.ox.ac.uk/) systematically collects information on several different common policy responses that governments have taken to respond to the pandemic. 3. The Government Stringency Index is based on nine response indicators including school closures and travel bans to give a rescaled value from 0 to 100, (100= strictest response). 4. Government Stringency Index figures are provided as an average for the given month." "Unit","Index, Feb 2020=100" "","" "Country/Date","Stringency","RSI" "Feb European Union","74.5","100" "Mar European Union","85.6","90.6" "Apr European Union","72.3","80.5" "May European Union","58.4","95.2" "Jun European Union","55.1","100.2" "Jul European Union","55.0","99.0" "Aug European Union","52.6","102.5" "Sep European Union","56.5","101.2" "Oct European Union","72.7","102.7" "Nov European Union","74.9","97.6" "Feb Germany","60.9","100" "Mar Germany","76.9","98.6" "Apr Germany","63.8","92.5" "May Germany","61.3","104.6" "Jun Germany","56.8","103.2" "Jul Germany","57.9","103.4" "Aug Germany","50.5","105.3" "Sep Germany","55.2","103.7" "Oct Germany","64.0","106.6" "Nov Germany","75.2","107.8" "Feb Spain","69.9","100" "Mar Spain","85.2","85.5" "Apr Spain","78.6","69.1" "May Spain","54.2","81.7" "Jun Spain","59.5","95.2" "Jul Spain","62.8","96.1" "Aug Spain","61.0","97.4" "Sep Spain","64.7","97.0" "Oct Spain","71.3","97.5" "Nov Spain","73.4","96.3" "Feb France","78.2","100" "Mar France","88.0","84.3" "Apr France","80.1","68.9" "May France","66.2","94.7" "Jun France","48.1","102.7" "Jul France","47.4","99.6" "Aug France","48.4","106.3" "Sep France","50.2","102.5" "Oct France","78.3","105.0" "Nov France","70.3","86.1" "Feb Italy","89.1","100" "Mar Italy","92.6","76.7" "Apr Italy","66.6","67.9" "May Italy","52.0","85.1" "Jun Italy","56.0","97.0" "Jul Italy","52.1","89.4" "Aug Italy","50.4","99.5" "Sep Italy","55.9","99.4" "Oct Italy","77.1","98.8" "Nov Italy","80.5","90.2" "Feb UK","50.7","100" "Mar UK","79.6","96.5" "Apr UK","74.2","79.8" "May UK","70.9","88.4" "Jun UK","65.4","99.4" "Jul UK","67.6","101.9" "Aug UK","65.6","102.6" "Sep UK","67.9","103.6" "Oct UK","70.6","104.6" "Nov UK","70.4","101.7" "Feb Japan","40.7","100" "Mar Japan","45.7","95.5" "Apr Japan","41.9","86.1" "May Japan","27.8","87.9" "Jun Japan","28.0","99.4" "Jul Japan","32.7","95.8" "Aug Japan","35.6","100.1" "Sep Japan","36.7","100.0" "Oct Japan","38.9","100.7" "Feb USA","61.7","100" "Mar USA","72.7","95.3" "Apr USA","72.7","83.9" "May USA","70.7","98.4" "Jun USA","68.3","104.6" "Jul USA","67.1","104.9" "Aug USA","64.2","105.6" "Sep USA","64.1","107.1" "Oct USA","69.6","107.1"