_id city regione Milano Scoreboard edition X1 = reputation of the city on Google X2 = reputation on Google for business, industrial and fin_4 X3 = reputation on Google for shopping x1_anno x2_anno x3_anno x1_città/regione x2_città/regione x3_città/regione x1_geo x2_geo x3_geo x1_fonte x2_fonte x3_fonte x1_note x2_note x3_note X1 indice (media=1) X2 indice (media=1) X3 indice (media=1) Score di dimensione (media X123 indicizzati) 1 Milano Lombardia 2019 83,6 100 100 2018 2018 2018 Milano Milano Milano city city city PTS Clas on Google Trends data PTS Clas on Google Trends data PTS Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,2751677852349 1,39082058414465 1,45518044237485 1,37372293725147 2 Barcelona Cataluña 2019 100 82,4 86,9 2018 2018 2018 Barcelona Barcelona Barcelona city city city PTS Clas on Google Trends data PTS Clas on Google Trends data PTS Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,52532031726663 1,14603616133519 1,26455180442375 1,31196942767519 3 Lyon Rhône-Alpes 2019 36,5 44,7 40,5 2018 2018 2018 Lyon Lyon Lyon city city city PTS Clas on Google Trends data PTS Clas on Google Trends data PTS Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 0,556741915802318 0,621696801112656 0,589348079161816 0,58926226535893 4 München Bayern 2019 77,4 93,6 86,4 2018 2018 2018 München München München city city city PTS Clas on Google Trends data PTS Clas on Google Trends data PTS Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,18059792556437 1,30180806675939 1,25727590221187 1,24656063151188 5 Stuttgart Baden-Württemberg 2019 30,3 38,8 29,8 2018 2018 2018 Stuttgart Stuttgart Stuttgart city city city PTS Clas on Google Trends data PTS Clas on Google Trends data PTS Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 0,462172056131788 0,539638386648122 0,433643771827707 0,478484738202539 6 Milano Lombardia 2018 71,7 88,2 94,4 2017 2017 2017 Milano Milano Milano city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,07689996996095 1,21487603305785 1,24966904951019 1,18048168417633 7 Barcelona Cataluña 2018 100 78,3 92,7 2017 2017 2017 Barcelona Barcelona Barcelona city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,50195253829979 1,07851239669421 1,22716441620334 1,26920978373245 8 Lyon Rhône-Alpes 2018 42 51,7 49,7 2017 2017 2017 Lyon Lyon Lyon city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 0,630820066085912 0,712121212121212 0,657929573735769 0,666956950647631 9 München Bayern 2018 83,1 100 100 2017 2017 2017 München München München city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,24812255932713 1,37741046831956 1,3238019592269 1,31644499562453 10 Stuttgart Baden-Württemberg 2018 36,1 44,8 40,9 2017 2017 2017 Stuttgart Stuttgart Stuttgart city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 0,542204866326224 0,617079889807163 0,541435001323802 0,566906585819063 11 Milano "" 2017 85,1 100 100 2016 2016 2016 Milano Milano Milano city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,17769166897315 1,20365912373616 1,2950012950013 1,22545069590353 12 Barcelona "" 2017 100 99,9 96,5 2016 2016 2016 Barcelona Barcelona Barcelona city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,38389150290617 1,20245546461242 1,24967624967625 1,27867440573161 13 Lyon "" 2017 48,1 68,4 52,2 2016 2016 2016 Lyon Lyon Lyon city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 0,665651812897869 0,823302840635532 0,675990675990676 0,721648443174692 14 München "" 2017 88,5 97,1 96,4 2016 2016 2016 München München München city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 1,22474398007196 1,16875300914781 1,24838124838125 1,21395941253367 15 Stuttgart "" 2017 39,6 50 41 2016 2016 2016 Stuttgart Stuttgart Stuttgart city city city Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data Gruppo Clas on Google Trends data average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average "average number of queries on Google Trends under the categories ""Business & Industrial"" and ""Finance"" with reference to the city. Data are benchmarked to the city with the highest average" "average number of queries on Google Trends under the category ""Shopping"" with reference to the city. Data are benchmarked to the city with the highest average" 0,548021035150844 0,601829561868079 0,530950530950531 0,560267042656485