dataset = Mac
begin description
Data taken from Rudolf Enz, "Prices and Earnings Around the Globe",
1991 edition, Published by the Union Bank of Switzerland.  The data
give average values in 1991 on several economic indicators for 45
world cities.  All prices are in US dollars, using currency conversion
at the time of publication.
end description
begin variables
Col 0 = BigMac = Min labor to buy a BigMac and fries
Col 1 = Bread = Min labor to buy 1 kg bread
Col 2 = WorkHrs = Ave hours worked per year
Col 3 = VacDays = Ave days vacation per year
Col 4 = BusFare = Lowest cost of 10k public transit
Col 5 = Service = Annual cost of 19 services
Col 6 = TeachSal = Primary teacher salary, 1000s
Col 7 = TeachTax = Tax rate paid by primary teacher
Col 8 = EngSal = Electrical eng annual salary, 1000s
Col 9 = EngTax = Tax rate paid by engineer
Col 10 = City = Name of city
end variables
begin data
(
31 9 1714 31.9 1.27 280 21.8 28.2 44.3 44.1 "Amsterdam" 
33 9 1792 23.5 0.27 170 9.4 14.8 19.4 23.7 "Athens" 
98 23 2152 17.4 0.09 100 2.2 4.3 15.4 20.3 "Bogota" 
131 27 2052 30.6 0.09 70 1.1 11.7 4.7 37.6 "Bombay" 
31 12 1708 24.6 1.11 250 22.7 38.2 49.8 50.7 "Brussels" 
105 26 1971 16.2 0.24 210 2.3 17 15 18.5 "Buenos Aires" 
103 75 2041 21.1 0.2 250 2.5 6.5 5.3 6.1 "Caracas" 
18 18 1924 11.8 1.13 260 33.3 27.5 56.5 33.1 "Chicago" 
39 4 1717 25 2.46 330 29.1 39.5 54.3 44.8 "Copenhagen" 
29 12 1759 22.9 1.18 260 23.3 22.9 43.4 39.5 "Dublin" 
22 12 1693 29.6 1.49 280 32.7 18.9 64.6 32.8 "Dusseldorf" 
22 13 1650 30.1 1.37 290 35.7 27.7 51.5 41.8 "Frankfort" 
21 10 1880 22.7 1.21 350 58 25.4 64.3 28.1 "Geneva" 
40 27 1667 28.6 1.8 410 31.6 33.5 42.6 38.5 "Helsinki" 
24 14 2375 10.9 0.77 230 21.1 11.7 18.3 8.7 "Hong Kong" 
27 10 1978 9 0.85 260 18.8 21.5 29.5 23.1 "Houston" 
35 7 1945 19.4 1 160 12.4 23 24.2 32 "Johannesburg" 
57 40 2167 17.6 0.23 110 4.3 7.9 12.1 17.9 "Kuala Lumpur" 
130 216 1786 22.8 0.7 100 0.7 4.7 1.9 13.3 "Lagos" 
36 11 1737 24.5 1.85 310 26.9 21.7 24.4 20.8 "London" 
20 15 2068 10 1.1 300 37 20.3 60 40.6 "Los Angeles" 
20 9 1768 29.5 0.84 220 44.9 19.6 68.3 28.1 "Luxembourg" 
54 10 1710 32 1.06 330 23.6 24 36.9 28 "Madrid" 
165 86 2268 16.9 0.3 90 2 13.5 3.5 15.5 "Manila" 
235 37 1944 10.1 0.09 160 2.1 4.7 3.8 8.4 "Mexico City" 
33 17 1773 24.6 0.77 300 19.7 25.1 39.9 29.7 "Milan" 
21 10 1827 17.2 1.25 250 31.1 32.2 33.6 33.9 "Montreal" 
82 31 1958 28.5 0.2 120 1.6 7.9 4.3 8.9 "Nairobi" 
26 22 1942 12.2 1.15 270 32.5 23.4 48 27 "New York" 
40 8 1825 20.3 0.51 140 15 19.3 20.3 23.6 "Nicosia" 
43 12 1583 31.4 1.88 350 21 35 26.9 37 "Oslo" 
66 50 2078 28.6 0.2 220 5 15.3 12.1 22.3 "Panama" 
39 18 1744 27 0.82 290 21 22.3 38.8 27.2 "Paris" 
79 30 1749 26.5 0.24 220 2 5.9 9.5 19.5 "Rio de Janeiro" 
106 32 1856 30.7 0.37 220 4.5 20.7 9.2 22.7 "Sao Paulo" 
30 18 1842 23.8 0.59 150 15.4 7.9 18.8 7.9 "Seoul" 
70 39 2042 18.9 0.52 150 9.7 25.7 23.4 29 "Singapore" 
61 40 1805 27.8 2.66 440 28.1 55 26.3 55 "Stockholm" 
18 12 1668 22.4 2.06 220 23.1 24.5 27.2 27.1 "Sydney" 
34 16 2145 17.7 0.33 330 13 9.8 24.2 11.6 "Taipei" 
33 9 2015 18.7 0.73 230 9.1 10.1 17.6 13.1 "Tel Aviv" 
21 14 1880 24 1.32 410 32 17.4 34.9 16.9 "Tokyo" 
20 10 1888 12.2 0.99 260 35 30.6 45.5 31.6 "Toronto" 
30 12 1780 26.8 1.38 310 20.7 25.7 49.5 32.4 "Vienna" 
20 9 1868 24 1.88 390 57.8 22.4 71.7 27.5 "Zurich" 
)