"BigMac" "Bread" "Rice" "FoodIndex" "Bus" "Apt" "TeachGI" "TeachNI" "TaxRate" "TeachHours"
"Amsterdam" 16 9 9 65.9 2 890 34.3 20.5 40.2332 39
"Athens" 21 12 19 63.5 0.61 620 19.5 15.9 18.4615 29
"Auckland" 19 19 9 55.4 1.57 780 22 16.1 26.8182 40
"Bangkok" 50 42 25 46.4 0.47 120 4.2 4 4.7619 35
"Barcelona" 22 19 10 62.9 0.91 590 25.5 20.1 21.1765 39
"Basel" 15 7 7 98.4 2.34 930 78.5 57.6 26.6242 35
"Berlin" 16 10 16 64.4 2.21 630 45 28.9 35.7778 36
"Bogota" 93 48 16 33.3 0.32 200 4.1 3.9 4.87805 41
"Bratislava" 54 20 28 36.9 0.36 350 4.1 3.3 19.5122 40
"Brussels" 18 11 12 74.7 1.5 590 30.6 18.9 38.2353 24
"Bucharest" 79 22 21 36.4 0.2 150 1.8 1.6 11.1111 25
"Budapest" 43 14 22 43.9 0.53 440 6.2 4.3 30.6452 41
"Buenos_Aries" 45 28 36 27.3 0.25 150 2.4 2 16.6667 22
"Caracas" 76 89 17 49.5 0.2 290 3.5 3.1 11.4286 28
"Chicago" 10 7 7 93.2 1.5 1430 47.2 35.5 24.7881 37
"Copenhagen" 16 10 5 78 2.17 940 42.5 24.5 42.3529 37
"Dubai" 22 15 16 63.6 0.68 1350 22.8 22.8 0 40
"Dublin" 15 8 14 74.7 1.39 1320 41.7 30.8 26.1391 34
"Frankfurt" 15 6 16 62.3 3.43 920 41.9 30.5 27.2076 32
"Geneva" 16 7 7 100.6 1.46 1630 76.4 54.8 28.2723 42
"Helsinki" 19 22 12 75.3 2.15 560 30.5 21.7 28.8525 36
"Hong_Kong" 13 27 13 128.2 1.26 1750 47.1 40.4 14.2251 41
"Istanbul" 36 19 34 51 0.61 890 10.4 8.3 20.1923 36
"Jakarta" 67 25 20 49.9 0.27 1110 2.3 2.1 8.69565 37
"Johannesburg" 33 11 14 41.1 0.7 480 7.5 5.8 22.6667 38
"Karachi" 132 62 46 35.7 0.22 90 2 1.8 10 40
"Kiev" 84 13 28 25.7 0.09 310 0.6 0.5 16.6667 36
"Kuala_Lumpur" 25 20 10 41.4 0.53 460 10.2 8.5 16.6667 48
"Lagos" 55 60 71 74.1 0.15 100 1.7 1.5 11.7647 40
"Lima" 79 38 21 41 0.34 300 4.1 4.4 -7.31707 44
"Lisbon" 33 18 11 58.7 1.82 810 16 11.8 26.25 35
"Ljubljana" 39 39 24 57.3 0.79 170 17.8 10.7 39.8876 32
"London" 16 6 14 69.3 2.08 1930 33.7 24.2 28.1899 39
"Los_Angeles" 10 16 8 89.2 1.1 1060 46.7 36.2 22.4839 39
"Lugano" 17 7 5 94.9 1.83 950 59.5 45.2 24.0336 41
"Luxembourg" 15 14 14 72.2 1.29 700 58 45.9 20.8621 23
"Madrid" 21 15 12 62.2 1.18 740 27.6 21.8 21.0145 40
"Manama" 24 26 19 76.5 0.13 800 13.3 12.6 5.26316 45
"Manila" 62 49 26 63.9 1.46 650 4 3.4 15 48
"Mexico_City" 75 49 15 32.5 0.19 770 8.3 7.5 9.63855 35
"Miami" 10 10 11 44 1.25 700 34 25.7 24.4118 40
"Milan" 21 24 15 67.4 1.07 1660 20.6 13.8 33.0097 24
"Montreal" 14 15 11 62.6 1.49 410 30.7 22.5 26.7101 33
"Moscow" 30 12 18 41.5 0.25 590 1.8 1.7 5.55556 37
"Mumbai" 112 38 96 23.5 0.21 200 1.4 1.2 14.2857 36
"Nairobi" 185 45 70 45.6 0.32 320 1.9 1.6 15.7895 43
"New_York" 12 17 15 109.6 1.5 1790 54.2 37 31.7343 37
"Oslo" 18 12 12 102.2 3.7 1000 35.7 26.2 26.6106 38
"Paris" 19 17 18 81.1 1.39 1270 24.9 17.4 30.1205 33
"Prague" 42 17 17 29.4 0.85 310 5.7 4.7 17.5439 43
"Riga" 48 24 28 36 0.34 140 5.3 4 24.5283 42
"Rio_De_Janeiro" 43 59 20 38.8 0.44 230 2.4 2.2 8.33333 20
"Rome" 26 26 22 75.5 0.83 1210 17.3 11.1 35.8382 24
"Santiago_De_Chile" 52 29 20 37 0.45 430 5.9 5.3 10.1695 46
"Sao_Paulo" 33 47 14 41.2 0.49 200 2.7 2.4 11.1111 21
"Seoul" 28 25 38 101.7 0.54 710 27.2 21.7 20.2206 58
"Shanghi" 30 90 29 64.3 0.48 480 4.3 3.3 23.2558 40
"Singapore" 21 26 11 74.7 0.83 790 23 18 21.7391 45
"Sofia" 31 21 28 36.4 0.27 150 2.1 1.7 19.0476 40
"Stockholm" 19 18 15 75.5 2.92 750 32.3 20.8 35.6037 40
"Sydney" 19 15 8 62.6 1.48 1010 24.3 17.3 28.8066 38
"Taipei" 18 32 12 103.2 0.43 1410 22.3 18.4 17.4888 40
"Tallinn" 49 34 26 42 1.03 100 5.1 3.6 29.4118 25
"Tel_Aviv" 31 17 16 69.4 1.48 790 13.4 11.1 17.1642 30
"Tokyo" 10 20 18 129.4 1.64 1010 45.8 38.3 16.3755 49
"Toronto" 14 12 10 61 1.31 850 26.5 18.5 30.1887 49
"Vienna" 15 13 10 76.4 1.7 1020 28.9 19.8 31.4879 37
"Vilnius" 62 25 23 33.8 0.24 340 3.7 2.6 29.7297 32
"Warsaw" 44 17 16 36 0.62 440 5.3 3.4 35.8491 26
