Rank | Country | City | Score | Billionaires | T2000 Companies | Market Value ($B) | Difference 2015-16 |
---|---|---|---|---|---|---|---|
1 | United States | New York Metropolitain Area | 99.75 | 115 | 103 | 4,742.4 | 0 |
2 | United Kingdom | London | 89.28 | 85 | 73 | 1,878.0 | 0 |
3 | United States | San Francisco Bay Area | 87.71 | 72 | 56 | 3,564.0 | 2 |
4 | China | Beijing JingJinji | 85.47 | 59 | 72 | 1,970.3 | -1 |
5 | Japan | Tokyo Greater Area | 84.67 | 21 | 138 | 2,150.0 | -1 |
6 | Hong Kong | Hong Kong | 82.32 | 67 | 55 | 1,033.9 | 1 |
7 | China | Shanghai Yangtze River Delta | 80.83 | 77 | 40 | 802.4 | 5 |
8 | France | Paris | 80.41 | 49 | 56 | 1,423.6 | -2 |
9 | China | Guangzhou Pearl River Delta | 74.54 | 54 | 29 | 696.3 | 1 |
10 | South Korea | Seoul Capital Area | 74.29 | 29 | 60 | 683.1 | -1 |
11 | United States | Los Angeles Metropolitan Area | 71.5 | 48 | 21 | 676.1 | -3 |
12 | Russia | Moscow | 69.74 | 58 | 15 | 265.1 | -1 |
13 | India | Mumbai | 67.35 | 32 | 25 | 417.7 | 1 |
14 | United States | Chicago Metropolitan Area | 67.25 | 17 | 35 | 882.4 | 0 |
15 | United States | Dallas-Forth Worth | 66.28 | 22 | 22 | 966.3 | 4 |
16 | Taiwan | Taipei | 64.13 | 20 | 32 | 258.7 | -1 |
17 | Switzerland | Zurich | 64.05 | 22 | 22 | 475.4 | 19 |
18 | Canada | Toronto | 62.7 | 19 | 19 | 556.1 | 0 |
19 | United States | Houston | 62.53 | 13 | 26 | 607.1 | 3 |
20 | United States | Miami Metropolitan Area | 60.58 | 29 | 10 | 209.0 | 3 |
21 | Singapore | Singapore | 60.28 | 21 | 17 | 217.4 | -1 |
22 | United States | Atlanta | 59.53 | 9 | 19 | 741.7 | 2 |
23 | United States | Boston Metropolitan Area | 59.35 | 11 | 18 | 579.7 | 5 |
24 | United States | Seattle | 58.39 | 11 | 10 | 938.8 | 9 |
25 | Canada | Montreal | 58.08 | 17 | 14 | 240.0 | 0 |
26 | Sweden | Stockholm | 58.01 | 10 | 19 | 399.4 | 0 |
27 | Australia | Sydney | 57.82 | 10 | 19 | 374.4 | 0 |
28 | United States | Minneapolis | 57.36 | 7 | 17 | 639.4 | 7 |
29 | Turkey | Istanbul | 57.18 | 26 | 9 | 72.8 | 1 |
30 | Spain | Madrid | 57.15 | 11 | 17 | 310.5 | -1 |
31 | United States | Washington | 56.88 | 8 | 19 | 384.0 | 0 |
32 | Thailand | Bangkok | 56.15 | 14 | 15 | 158.4 | 0 |
33 | Germany | Rhine-Ruhr Metropolitan Region | 55.88 | 10 | 13 | 376.0 | -16 |
34 | Japan | Kyoto-Osaka-Kobe | 55.51 | 0 | 35 | 443.8 | -12 |
35 | Brazil | Sao Paulo | 55.41 | 15 | 11 | 175.2 | -14 |
36 | Mexico | Mexico City | 54.9 | 11 | 9 | 383.6 | 6 |
37 | United States | Philadelphia | 54.34 | 7 | 14 | 344.4 | 6 |
38 | Germany | Munich | 54.33 | 10 | 10 | 329.1 | 0 |
39 | India | New Delhi | 54.32 | 14 | 12 | 112.0 | -5 |
40 | Italy | Milan | 54.26 | 18 | 8 | 98.8 | 1 |
41 | Ireland | Dublin | 53.61 | 4 | 18 | 325.6 | -2 |
42 | Malaysia | Kuala Lumpur | 52.91 | 7 | 15 | 182.1 | -2 |
43 | United States | Denver | 52.89 | 9 | 12 | 179.0 | 2 |
44 | Australia | Melbourne | 52.17 | 6 | 10 | 341.4 | 2 |
45 | Saudi Arabia | Riyadh | 52.14 | 5 | 15 | 220.0 | -7 |
46 | Canada | Calgary | 52 | 6 | 12 | 248.0 | -2 |
47 | Switzerland | Basel | 51.51 | 5 | 7 | 497.7 | 7 |
48 | United Arab Emirates | Dubai | 51.17 | 14 | 7 | 65.5 | 10 |
49 | China | Fuzhou | 50.66 | 14 | 5 | 83.9 | 25 |
50 | Philippines | Manila | 50.19 | 11 | 8 | 70.7 | 2 |
51 | Switzerland | Geneva | 50.02 | 14 | 4 | 80.1 | -3 |
52 | Israel | Tel Aviv | 49.97 | 8 | 10 | 95.7 | -2 |
53 | United States | Detroit | 49.52 | 6 | 9 | 161.5 | 4 |
54 | Netherlands | Amsterdam | 49.47 | 5 | 10 | 173.4 | 10 |
55 | Belgium | Brussels | 49.15 | 2 | 11 | 300.4 | 4 |
56 | Chile | Santiago | 49.04 | 10 | 8 | 52.6 | -3 |
57 | Germany | Frankfurt | 48.8 | 7 | 7 | 137.9 | -6 |
58 | Indonesia | Jakarta | 48.65 | 12 | 4 | 69.4 | -9 |
59 | United States | Phoenix | 48.47 | 9 | 7 | 69.0 | 8 |
60 | Japan | Nagoya | 48.26 | 0 | 14 | 316.3 | -13 |
61 | Finland | Helsinki | 47.73 | 5 | 8 | 129.4 | 4 |
62 | United States | Omaha | 47.48 | 2 | 4 | 472.0 | -2 |
63 | Italy | Rome | 47.21 | 4 | 7 | 170.5 | 0 |
64 | United States | St Louis | 47.02 | 4 | 7 | 160.0 | 7 |
65 | Brazil | Rio de Janeiro | 46.88 | 9 | 4 | 71.6 | -11 |
66 | Germany | Mannheim | 46.66 | 6 | 3 | 188.2 | -5 |
67 | India | Bangalore | 46.65 | 10 | 3 | 64.1 | 1 |
68 | Norway | Oslo | 46.11 | 5 | 7 | 83.7 | 2 |
69 | United States | Cleveland | 45.95 | 3 | 8 | 123.1 | 27 |
70 | United States | Las Vegas | 45.85 | 8 | 4 | 60.6 | -8 |
71 | South Africa | Johannesburg | 45.7 | 3 | 8 | 112.3 | -2 |
72 | United States | Cincinnati | 45.69 | 0 | 8 | 314.0 | 3 |
73 | United States | Charlotte | 45.27 | 1 | 5 | 303.4 | 0 |
74 | Denmark | Copenhagen | 45 | 0 | 8 | 260.8 | 2 |
75 | United States | Indianapolis | 44.98 | 2 | 5 | 210.5 | 22 |
76 | United States | Nashville | 44.96 | 4 | 5 | 115.9 | 7 |
77 | China | Chengdu | 44.58 | 12 | 2 | 10.7 | -11 |
78 | United States | San Diego | 44.5 | 2 | 6 | 151.9 | -6 |
79 | United States | Pittsburgh | 44.47 | 2 | 7 | 124.3 | 3 |
80 | Switzerland | Lausanne | 44.41 | 3 | 2 | 241.8 | 120 |
81 | United Arab Emirates | Abu Dhabi | 44.39 | 2 | 8 | 98.7 | -1 |
82 | United States | Columbus | 44.29 | 1 | 8 | 141.1 | 4 |
83 | Netherlands | The Hague | 43.9 | 0 | 5 | 294.7 | 10 |
84 | Qatar | Doha | 43.75 | 1 | 9 | 96.2 | 7 |
85 | Spain | Barcelona | 43.74 | 3 | 6 | 82.0 | -7 |
86 | Canada | Vancouver | 43.44 | 6 | 4 | 39.3 | 8 |
87 | Germany | Hamburg | 43.4 | 9 | 2 | 22.6 | -10 |
88 | United States | Hartford | 43.29 | 0 | 6 | 217.2 | -1 |
89 | Germany | Stuttgart | 43.03 | 4 | 3 | 93.9 | -34 |
90 | India | Kolkata | 42.9 | 4 | 4 | 67.9 | -2 |
91 | Australia | Perth | 42.88 | 5 | 3 | 62.6 | -6 |
92 | United States | Richmond | 42.78 | 0 | 6 | 188.6 | 7 |
93 | United States | San Antonio | 42.72 | 4 | 5 | 46.8 | -9 |
94 | South Africa | Cape Town | 42.57 | 3 | 4 | 86.5 | -5 |
95 | Monaco | Monaco | 42.31 | 14 | 0 | 0.0 | 24 |
96 | United States | Bentonville | 42.22 | 2 | 1 | 215.7 | -6 |
97 | United States | Tampa | 42.16 | 4 | 5 | 35.8 | 18 |
98 | United States | Milwaukee | 42.13 | 0 | 8 | 107.8 | 14 |
99 | Mexico | Monterrey | 41.99 | 2 | 5 | 79.7 | -4 |
100 | Sweden | Goteborg | 41.93 | 5 | 3 | 40.9 | 20 |
101 | United States | Portland | 41.52 | 4 | 1 | 100.1 | |
102 | Nigeria | Lagos | 41.21 | 5 | 4 | 18.6 | 20 |
103 | Switzerland | Lucerne | 41 | 6 | 2 | 24.0 | 5 |
104 | Austria | Vienna | 40.7 | 2 | 6 | 35.3 | 5 |
105 | Spain | La Coruna | 40.63 | 3 | 1 | 103.2 | 5 |
106 | Bermuda | Hamilton | 40.48 | 1 | 7 | 41.2 | -4 |
107 | United States | Greensboro | 40.34 | 0 | 4 | 135.6 | 53 |
108 | Luxembourg | Luxembourg City | 40.27 | 1 | 5 | 66.4 | -2 |
109 | United States | Jackson | 39.84 | 7 | 1 | 11.0 | 56 |
110 | China | Wuhan | 39.78 | 3 | 4 | 26.4 | -10 |
111 | Germany | Hannover | 39.75 | 2 | 3 | 60.6 | -30 |
112 | Taiwan | Hsinchu | 39.72 | 0 | 3 | 139.6 | -9 |
113 | United States | Oklahoma City | 39.7 | 3 | 3 | 37.3 | -2 |
114 | Germany | Nuremberg | 39.63 | 3 | 3 | 36.2 | 18 |
115 | India | Pune | 39.54 | 5 | 2 | 18.0 | 9 |
116 | United States | Memphis | 39.48 | 1 | 3 | 85.4 | 5 |
117 | Netherlands | Rotterdam | 39.36 | 1 | 1 | 137.2 | -25 |
118 | United States | Raleigh | 39.26 | 2 | 4 | 36.0 | 48 |
119 | Colombia | Bogota | 39.17 | 2 | 4 | 34.6 | -1 |
120 | Germany | Berlin | 38.99 | 5 | 2 | 12.8 | 15 |
121 | Poland | Warsaw | 38.88 | 2 | 4 | 30.4 | 12 |
122 | Argentina | Buenos Aires | 38.87 | 5 | 2 | 11.8 | 5 |
123 | United States | Austin | 38.75 | 5 | 1 | 20.0 | -7 |
124 | Switzerland | Bern | 38.53 | 2 | 3 | 37.8 | 51 |
125 | United States | Baltimore | 38.37 | 3 | 2 | 30.8 | 5 |
126 | United States | Norfolk | 38.05 | 1 | 3 | 52.9 | 22 |
127 | Germany | Bielefeld | 38.05 | 9 | 0 | 0.0 | 32 |
128 | United States | Kalamazoo | 38.01 | 3 | 1 | 40.8 | 39 |
129 | Netherlands | Eindhoven | 38 | 1 | 2 | 70.5 | 8 |
130 | Saudi Arabia | Jeddah | 37.96 | 2 | 3 | 29.6 | 8 |
131 | Kazakhstan | Almaty | 37.85 | 7 | 1 | 1.1 | 14 |
132 | United States | Tulsa | 37.7 | 2 | 3 | 26.3 | -19 |
133 | United States | Louisville | 37.68 | 0 | 3 | 78.5 | -5 |
134 | Czech Republic | Prague | 37.61 | 5 | 1 | 9.8 | 0 |
135 | United States | Kansas City | 37.19 | 1 | 3 | 38.5 | -18 |
136 | Peru | Lima | 36.94 | 3 | 2 | 15.2 | -18 |
137 | United States | Providence | 36.89 | 1 | 3 | 34.2 | -22 |
138 | Portugal | Lisbon | 36.88 | 1 | 3 | 34.1 | 5 |
139 | India | Ahmedabad | 36.87 | 6 | 1 | 1.4 | 1 |
140 | Egypt | Cairo | 36.87 | 5 | 1 | 5.5 | -11 |
141 | Taiwan | Taichung | 36.84 | 2 | 3 | 17.4 | -10 |
142 | China | Urumqi | 36.7 | 1 | 3 | 31.7 | |
143 | United States | Jacksonville | 36.64 | 0 | 3 | 56.7 | 3 |
144 | United States | Midland | 36.58 | 0 | 2 | 74.0 | 6 |
145 | Morocco | Casablanca | 36.57 | 2 | 3 | 15.1 | -9 |
146 | India | Hyderabad | 36.5 | 2 | 3 | 14.6 | -20 |
147 | United States | Naples | 36.5 | 5 | 1 | 3.9 | |
148 | United Kingdom | Newbury | 36.17 | 0 | 1 | 87.3 | 5 |
149 | Germany | Melsungen | 35.84 | 7 | 0 | 0.0 | |
150 | United Kingdom | Bristol | 35.83 | 1 | 1 | 49.3 | 7 |
Greece | Athens | 35.8 | 0 | 6 | 12.7 | -10 | |
United States | Fayetteville | 35.76 | 1 | 2 | 32.6 | ||
United States | Harrisburg | 35.75 | 0 | 3 | 42.2 | ||
China | Changsha | 35.73 | 2 | 2 | 16.6 | -47 | |
United States | Allentown | 35.67 | 0 | 2 | 56.6 | ||
Italy | Turin | 35.6 | 0 | 2 | 55.5 | ||
Kuwait | Kuwait City | 35.52 | 0 | 4 | 27.0 | -53 | |
Germany | Wolfsburg | 35.5 | 0 | 1 | 73.1 | ||
United Kingdom | Edinburgh | 35.39 | 0 | 2 | 52.0 | ||
Spain | Valencia | 35.35 | 3 | 1 | 11.6 | ||
United States | Boise | 35.27 | 3 | 1 | 11.1 | ||
Taiwan | Kaohsiung City | 35.25 | 0 | 3 | 35.4 | ||
United States | Rochester | 35.24 | 0 | 2 | 49.7 | ||
Lebanon | Beirut | 35.11 | 3 | 2 | 4.5 | ||
China | Shenyang | 34.81 | 3 | 1 | 8.4 | ||
Turkey | Ankara | 34.77 | 3 | 1 | 8.2 | ||
United States | Chattanooga | 34.75 | 3 | 1 | 8.1 | ||
Italy | Treviso | 34.56 | 6 | 0 | 0.0 | ||
Venezuela | Caracas | 34.45 | 2 | 3 | 3.7 | -47 | |
Vietnam | Hanoi | 34.39 | 1 | 3 | 10.9 | ||
Norway | Stavanger | 34.37 | 0 | 1 | 53.6 | ||
Taiwan | Taoyuan | 34.28 | 0 | 3 | 24.6 | ||
Russia | St. Petersburg | 34.19 | 2 | 1 | 14.0 | ||
China | Hefei | 34.16 | 3 | 1 | 5.4 | ||
Australia | Brisbane | 34.03 | 1 | 2 | 16.0 | ||
United States | Springfield | 34 | 1 | 1 | 26.2 | ||
China | Renhuai | 33.98 | 0 | 1 | 47.9 | ||
United States | Des Moines | 33.75 | 1 | 2 | 14.1 | ||
Spain | Bilbao | 33.7 | 0 | 1 | 44.1 | ||
Portugal | Porto | 33.55 | 2 | 2 | 4.5 | ||
China | Chongqing | 33.48 | 0 | 3 | 17.8 | ||
United States | Birmingham | 33.34 | 0 | 2 | 26.5 | ||
Russia | Surgut | 33.25 | 1 | 1 | 19.7 | ||
France | Clermont-Ferrand | 33.24 | 1 | 1 | 19.6 | ||
United States | Knoxville | 33.22 | 2 | 1 | 8.4 | ||
United Kingdom | Cambridge | 33.16 | 1 | 1 | 19.0 | ||
France | Lille | 33.12 | 5 | 0 | 0.0 | ||
Switzerland | Gstaad | 33.12 | 5 | 0 | 0.0 | ||
China | Zhengzhou | 32.99 | 1 | 2 | 9.7 | ||
Japan | Minamitsuru | 32.91 | 0 | 1 | 34.9 | ||
United States | Buffalo | 32.91 | 0 | 2 | 22.7 | ||
United States | Salt Lake City | 32.89 | 1 | 2 | 9.2 | ||
Denmark | Humleb?k | 32.74 | 1 | 1 | 16.0 | ||
Japan | Hamamatsu | 32.63 | 0 | 2 | 20.5 | ||
Switzerland | St. Gallen | 32.61 | 1 | 2 | 7.9 | ||
Denmark | Aarhus | 32.54 | 1 | 1 | 14.7 | ||
Russia | Krasnodar | 32.52 | 1 | 1 | 14.6 | ||
China | Linayungang | 32.44 | 1 | 1 | 14.1 | ||
United States | New Orleans | 32.3 | 1 | 1 | 13.3 | ||
China | Xi'an | 32.23 | 0 | 2 | 17.6 | ||
India | Dehradun | 32.19 | 0 | 1 | 27.8 | ||
Russia | Tarko-Sale | 32.19 | 0 | 1 | 27.8 | ||
Indonesia | Bandung | 32.14 | 0 | 1 | 27.4 | ||
Japan | Fukuoka | 32.12 | 0 | 3 | 9.5 | ||
United States | Battle Creek | 32.04 | 0 | 1 | 26.5 | ||
China | Yunfu | 32.02 | 0 | 1 | 26.4 | ||
United States | Davenport | 31.99 | 0 | 1 | 26.1 | ||
Taiwan | Tainan | 31.98 | 0 | 2 | 15.9 | ||
United States | Toledo | 31.77 | 0 | 1 | 24.3 | ||
Italy | Trieste | 31.74 | 0 | 1 | 24.1 | ||
China | Puning | 31.67 | 1 | 1 | 10.0 | ||
Germany | Montabaur | 31.65 | 1 | 1 | 9.9 | ||
United States | Corning | 31.61 | 0 | 1 | 23.1 | ||
Italy | Modena | 31.59 | 2 | 1 | 2.8 | ||
United States | Warsaw | 31.57 | 0 | 1 | 22.8 | ||
Hungary | Budapest | 31.55 | 0 | 2 | 13.4 | ||
Switzerland | Schaffhausen | 31.45 | 0 | 1 | 21.9 | ||
United States | Findlay | 31.45 | 0 | 1 | 21.9 | ||
Isle of Man | Douglas | 31.44 | 4 | 0 | 0.0 | ||
Italy | Parma | 31.44 | 4 | 0 | 0.0 | ||
United States | Racine | 31.44 | 4 | 0 | 0.0 | ||
United Kingdom | Perth | 31.4 | 0 | 1 | 21.5 | ||
Canada | Saint John's | 31.38 | 1 | 1 | 8.7 | ||
United Kingdom | Gillingham | 31.31 | 0 | 1 | 20.9 | ||
United States | Madison | 31.16 | 1 | 1 | 7.8 | ||
China | Harbin | 31.15 | 0 | 2 | 11.3 | ||
United Kingdom | Cardiff | 31.11 | 1 | 1 | 7.6 | ||
South Korea | Pohang | 31.02 | 0 | 1 | 18.9 | ||
Japan | Sapporo | 31.01 | 1 | 2 | 2.8 | ||
Germany | Karlsruhe | 31 | 1 | 1 | 7.2 | ||
Switzerland | Biel | 30.97 | 0 | 1 | 18.6 | ||
China | Qingdao | 30.87 | 0 | 2 | 10.0 | ||
Canada | Aurora | 30.76 | 0 | 1 | 17.3 | ||
United States | Monroe | 30.73 | 0 | 1 | 17.1 | ||
United States | Wichita | 30.72 | 1 | 1 | 6.2 | ||
Brazil | Brasilia | 30.71 | 0 | 1 | 17.0 | ||
Switzerland | Mahon | 30.64 | 0 | 1 | 16.6 | ||
Austria | Graz | 30.56 | 1 | 1 | 5.7 | ||
Ireland | Tralee | 30.56 | 0 | 1 | 16.1 | ||
India | Baroda | 30.53 | 1 | 1 | 5.6 | ||
China | Baotou | 30.5 | 0 | 1 | 15.8 | ||
China | Yibin | 30.48 | 0 | 1 | 15.7 | ||
Netherlands | Willemstad | 30.48 | 0 | 1 | 15.7 | ||
China | Suqian | 30.45 | 0 | 1 | 15.5 | ||
China | Binzhou | 30.43 | 1 | 1 | 5.3 | ||
China | Weifang | 30.4 | 1 | 1 | 5.2 | ||
Saudi Arabia | Mecca | 30.39 | 0 | 1 | 15.2 | ||
France | Limoges | 30.38 | 0 | 1 | 15.1 | ||
Canada | Saskatoon | 30.36 | 0 | 1 | 15.0 | ||
China | Datong | 30.36 | 0 | 1 | 15.0 | ||
India | Chennai | 30.35 | 1 | 2 | 1.6 | ||
South Korea | Daejeon | 30.32 | 0 | 1 | 14.8 | ||
Japan | Sendai | 30.28 | 0 | 2 | 7.6 | ||
United States | Benton Harbor | 30.26 | 0 | 1 | 14.5 | ||
United States | Calhoun | 30.26 | 0 | 1 | 14.5 | ||
China | Anshan | 30.19 | 1 | 1 | 4.6 | ||
Japan | Hiroshima | 30.19 | 0 | 2 | 7.3 | ||
Japan | Takasaki | 30.08 | 0 | 2 | 6.9 | ||
China | Wuhu City | 30.05 | 0 | 1 | 13.4 | ||
China | Hohhot | 30.02 | 0 | 1 | 13.3 | ||
United States | Winona | 30 | 0 | 1 | 13.2 | ||
Denmark | Silkeborg | 29.95 | 1 | 1 | 4.0 | ||
United States | Burlington | 29.84 | 0 | 1 | 12.4 | ||
China | Boshan | 29.77 | 0 | 1 | 12.1 | ||
United States | Cedar Rapids | 29.68 | 0 | 1 | 11.7 | ||
Netherlands | Alphen aan den Rijn | 29.66 | 0 | 1 | 11.6 | ||
United States | Roanoke | 29.66 | 0 | 1 | 11.6 | ||
Bahrain | Manama | 29.59 | 0 | 2 | 5.4 | ||
United States | Kingsport | 29.59 | 0 | 1 | 11.3 | ||
Russia | Almetyevsk | 29.57 | 0 | 1 | 11.2 | ||
United Kingdom | Leicester | 29.47 | 0 | 1 | 10.8 | ||
Channel Islands | Jersey | 29.46 | 1 | 1 | 2.9 | ||
China | Shantou | 29.43 | 3 | 0 | 0.0 | ||
China | Taizhou | 29.43 | 3 | 0 | 0.0 | ||
Israel | Netanya | 29.43 | 3 | 0 | 0.0 | ||
Japan | Keihanshin | 29.43 | 3 | 0 | 0.0 | ||
Russia | Yekaterinburg | 29.43 | 3 | 0 | 0.0 | ||
Russia | Cherepovets | 29.37 | 0 | 1 | 10.4 | ||
United Kingdom | Manchester | 29.37 | 0 | 1 | 10.4 | ||
Netherlands | Heerlen | 29.35 | 0 | 1 | 10.3 | ||
United Kingdom | Dunstable | 29.32 | 0 | 1 | 10.2 | ||
Japan | Kawasakai | 29.3 | 0 | 1 | 10.1 | ||
South Africa | Durban | 29.3 | 0 | 1 | 10.1 | ||
United States | El Paso | 29.3 | 1 | 1 | 2.6 | ||
United States | Melbourne | 29.27 | 0 | 1 | 10.0 | ||
Indonesia | Kediri | 29.22 | 0 | 1 | 9.8 | ||
China | Dalian | 29.19 | 0 | 1 | 9.7 | ||
China | Xiamen | 29.19 | 0 | 1 | 9.7 | ||
Japan | Aki | 29.19 | 0 | 1 | 9.7 | ||
United States | Bowie | 29.19 | 0 | 1 | 9.7 | ||
China | Kunming | 29.17 | 0 | 1 | 9.6 | ||
United States | Columbia | 29.14 | 0 | 1 | 9.5 | ||
South Korea | Busan | 29.13 | 0 | 2 | 4.2 | ||
Turkey | Tepebasi | 29.09 | 0 | 1 | 9.3 | ||
Colombia | Medellin | 29 | 0 | 1 | 9.0 | ||
United Kingdom | Warrington | 29 | 0 | 1 | 9.0 | ||
Italy | Verona | 28.91 | 0 | 2 | 3.7 | ||
United Kingdom | York | 28.83 | 0 | 1 | 8.4 | ||
Russia | Lipetsk | 28.8 | 0 | 1 | 8.3 | ||
Russia | Mirny | 28.8 | 0 | 1 | 8.3 | ||
United Kingdom | Luton | 28.8 | 0 | 1 | 8.3 | ||
United States | Orlando | 28.71 | 0 | 1 | 8.0 | ||
China | Taian | 28.65 | 0 | 1 | 7.8 | ||
South Korea | Jeongseon | 28.65 | 0 | 1 | 7.8 | ||
Philippines | Cebu City | 28.62 | 0 | 1 | 7.7 | ||
Poland | Plock | 28.62 | 0 | 1 | 7.7 | ||
South Korea | Ulsan | 28.62 | 0 | 1 | 7.7 | ||
Saudi Arabia | Dammam | 28.46 | 0 | 1 | 7.2 | ||
United Kingdom | Birmingham | 28.46 | 0 | 1 | 7.2 | ||
Sweden | Malmo | 28.39 | 0 | 1 | 7.0 | ||
United States | Reno | 28.39 | 0 | 1 | 7.0 | ||
United Kingdom | Cirencester | 28.36 | 0 | 1 | 6.9 | ||
Italy | Sondrio | 28.31 | 0 | 2 | 2.5 | ||
United Kingdom | Northampton | 28.25 | 0 | 1 | 6.6 | ||
Russia | Ufa | 28.18 | 0 | 1 | 6.4 | ||
United Kingdom | Leeds | 28.18 | 0 | 1 | 6.4 | ||
Austria | Linz | 28.14 | 0 | 1 | 6.3 | ||
China | Guixi | 28.14 | 0 | 1 | 6.3 | ||
France | Quimper | 28.14 | 0 | 1 | 6.3 | ||
France | Metz | 28.11 | 0 | 1 | 6.2 | ||
Japan | Suwa | 28.11 | 0 | 1 | 6.2 | ||
China | Jining | 27.99 | 0 | 1 | 5.9 | ||
China | Haikou | 27.95 | 0 | 1 | 5.8 | ||
Malta | Valletta | 27.95 | 0 | 1 | 5.8 | ||
Brazil | Porto Alegre | 27.89 | 1 | 1 | 0.7 | ||
Jordan | Amman | 27.84 | 0 | 1 | 5.5 | ||
Japan | Shizuoka | 27.79 | 0 | 1 | 5.4 | ||
Brazil | Cama?ari | 27.71 | 0 | 1 | 5.2 | ||
China | Jinzhou | 27.58 | 0 | 1 | 4.9 | ||
Pakistan | Islamabad | 27.58 | 0 | 1 | 4.9 | ||
Germany | Kassel | 27.54 | 0 | 1 | 4.8 | ||
Japan | Numazu | 27.44 | 0 | 1 | 4.6 | ||
Canada | Stellarton | 27.4 | 0 | 1 | 4.5 | ||
China | Tongling | 27.2 | 0 | 1 | 4.1 | ||
Russia | Krasnoyarsk | 27.15 | 0 | 1 | 4.0 | ||
Australia | Gold Coast | 26.88 | 2 | 0 | 0.0 | ||
Channel Islands | Guernsey | 26.88 | 2 | 0 | 0.0 | ||
China | Hulin | 26.88 | 2 | 0 | 0.0 | ||
China | Rizhao | 26.88 | 2 | 0 | 0.0 | ||
China | Wenzhou | 26.88 | 2 | 0 | 0.0 | ||
France | Bordeaux | 26.88 | 2 | 0 | 0.0 | ||
France | Lyon | 26.88 | 2 | 0 | 0.0 | ||
Germany | Bruchsal | 26.88 | 2 | 0 | 0.0 | ||
Germany | Kuenzelsau | 26.88 | 2 | 0 | 0.0 | ||
Germany | Rheda-Wiedenbr?ck | 26.88 | 2 | 0 | 0.0 | ||
Germany | Ulm | 26.88 | 2 | 0 | 0.0 | ||
Indonesia | Kudus | 26.88 | 2 | 0 | 0.0 | ||
New Zealand | Auckland | 26.88 | 2 | 0 | 0.0 | ||
Spain | Palma de Majorca | 26.88 | 2 | 0 | 0.0 | ||
Switzerland | Lugano | 26.88 | 2 | 0 | 0.0 | ||
Ukraine | Kiev | 26.88 | 2 | 0 | 0.0 | ||
United Kingdom | Stoke-on-Trent | 26.88 | 2 | 0 | 0.0 | ||
United States | Cisco | 26.88 | 2 | 0 | 0.0 | ||
United States | Hobe Sound | 26.88 | 2 | 0 | 0.0 | ||
United States | Missoula | 26.88 | 2 | 0 | 0.0 | ||
United States | Santa Barbara | 26.88 | 2 | 0 | 0.0 | ||
Canada | Qu?bec | 26.82 | 0 | 1 | 3.4 | ||
Australia | Bendigo | 26.76 | 0 | 1 | 3.3 | ||
Taiwan | Miaoli | 26.76 | 0 | 1 | 3.3 | ||
China | Taiyuan | 26.64 | 0 | 1 | 3.1 | ||
Italy | Bologna | 26.64 | 0 | 1 | 3.1 | ||
Puerto Rico | San Juan | 26.64 | 0 | 1 | 3.1 | ||
Saudi Arabia | Rabigh | 26.58 | 0 | 1 | 3.0 | ||
Japan | Mito | 26.44 | 0 | 1 | 2.8 | ||
United States | Green Bay | 26.38 | 0 | 1 | 2.7 | ||
Brazil | Belo Horizonte | 26.31 | 0 | 1 | 2.6 | ||
Japan | Kumamoto | 26.31 | 0 | 1 | 2.6 | ||
Oman | Muscat | 26.31 | 0 | 1 | 2.6 | ||
Japan | Shimonoseki | 26.23 | 0 | 1 | 2.5 | ||
Italy | Reggio Emilia | 26.16 | 0 | 1 | 2.4 | ||
Japan | Nagano | 26.16 | 0 | 1 | 2.4 | ||
Pakistan | Karachi | 26.16 | 0 | 1 | 2.4 | ||
United States | El Dorado | 26.16 | 0 | 1 | 2.4 | ||
United Kingdom | Newcastle-upon-Tyne | 26.08 | 0 | 1 | 2.3 | ||
Italy | Siena | 26.01 | 0 | 1 | 2.2 | ||
Japan | Matsuyama | 26.01 | 0 | 1 | 2.2 | ||
Japan | Okayama | 26.01 | 0 | 1 | 2.2 | ||
Romania | Cluj-Napoca | 25.84 | 0 | 1 | 2.0 | ||
Japan | Toyama | 25.75 | 0 | 1 | 1.9 | ||
United States | Lincoln | 25.66 | 0 | 1 | 1.8 | ||
Japan | Niigata | 25.15 | 0 | 1 | 1.3 | ||
Japan | Matsue | 24.91 | 0 | 1 | 1.1 | ||
Japan | Utsunomiya | 24.78 | 0 | 1 | 1.0 | ||
Japan | Takamatsu | 24.7 | 0 | 1 | 0.9 | ||
Japan | Fukushima | 24.58 | 0 | 1 | 0.9 | ||
Japan | Kanazawa | 24.58 | 0 | 1 | 0.9 | ||
South Korea | Jeonju | 24.5 | 0 | 1 | 0.8 | ||
India | Manipal | 24.41 | 0 | 1 | 0.8 | ||
Italy | Genoa | 24.31 | 0 | 1 | 0.7 | ||
India | Mangalore | 24.2 | 0 | 1 | 0.6 | ||
Venezuela | Maracaibo | 23.77 | 0 | 1 | 0.4 | ||
Algeria | Algiers | 23.23 | 1 | 0 | 0.0 | ||
Angola | Luanda | 23.23 | 1 | 0 | 0.0 | ||
Austria | Fuschl | 23.23 | 1 | 0 | 0.0 | ||
Austria | Salzburg | 23.23 | 1 | 0 | 0.0 | ||
Bahamas | Nassau | 23.23 | 1 | 0 | 0.0 | ||
Belgium | Charleroi | 23.23 | 1 | 0 | 0.0 | ||
Belgium | Ghent | 23.23 | 1 | 0 | 0.0 | ||
Brazil | Curitiba | 23.23 | 1 | 0 | 0.0 | ||
Brazil | Fortaleza | 23.23 | 1 | 0 | 0.0 | ||
Brazil | Manaus | 23.23 | 1 | 0 | 0.0 | ||
British Virgin Islands | Necker Island | 23.23 | 1 | 0 | 0.0 | ||
Canada | Edmonton | 23.23 | 1 | 0 | 0.0 | ||
Canada | Florenceville | 23.23 | 1 | 0 | 0.0 | ||
Canada | Guelp | 23.23 | 1 | 0 | 0.0 | ||
Canada | Halifax | 23.23 | 1 | 0 | 0.0 | ||
Canada | Hamilton | 23.23 | 1 | 0 | 0.0 | ||
Canada | New Glasgow | 23.23 | 1 | 0 | 0.0 | ||
Canada | Ottawa | 23.23 | 1 | 0 | 0.0 | ||
Canada | Windsor | 23.23 | 1 | 0 | 0.0 | ||
Canada | Winnipeg | 23.23 | 1 | 0 | 0.0 | ||
Cayman Islands | Georgetown | 23.23 | 1 | 0 | 0.0 | ||
Channel Islands | Sark | 23.23 | 1 | 0 | 0.0 | ||
China | Anshun | 23.23 | 1 | 0 | 0.0 | ||
China | Chaozhou | 23.23 | 1 | 0 | 0.0 | ||
China | Dandong | 23.23 | 1 | 0 | 0.0 | ||
China | Heze | 23.23 | 1 | 0 | 0.0 | ||
China | Jinan | 23.23 | 1 | 0 | 0.0 | ||
China | Lanzhou | 23.23 | 1 | 0 | 0.0 | ||
China | Linyi | 23.23 | 1 | 0 | 0.0 | ||
China | Longkou | 23.23 | 1 | 0 | 0.0 | ||
China | Nanping | 23.23 | 1 | 0 | 0.0 | ||
China | Nanyang | 23.23 | 1 | 0 | 0.0 | ||
China | Quzhou | 23.23 | 1 | 0 | 0.0 | ||
China | Ruzhou | 23.23 | 1 | 0 | 0.0 | ||
China | Tonghua | 23.23 | 1 | 0 | 0.0 | ||
China | Wuhu | 23.23 | 1 | 0 | 0.0 | ||
China | Xinxiang | 23.23 | 1 | 0 | 0.0 | ||
China | Yingkou | 23.23 | 1 | 0 | 0.0 | ||
Cyprus | Nicosia | 23.23 | 1 | 0 | 0.0 | ||
Denmark | Billund | 23.23 | 1 | 0 | 0.0 | ||
Denmark | Haderslev | 23.23 | 1 | 0 | 0.0 | ||
Dominican Republic | La Romana | 23.23 | 1 | 0 | 0.0 | ||
Finland | Kirkkonummi | 23.23 | 1 | 0 | 0.0 | ||
France | Cherbourg | 23.23 | 1 | 0 | 0.0 | ||
France | Cluses | 23.23 | 1 | 0 | 0.0 | ||
France | Florensac | 23.23 | 1 | 0 | 0.0 | ||
France | La Gacilly | 23.23 | 1 | 0 | 0.0 | ||
France | Laval | 23.23 | 1 | 0 | 0.0 | ||
France | Le-Bar-sur-Loup | 23.23 | 1 | 0 | 0.0 | ||
France | Marseille | 23.23 | 1 | 0 | 0.0 | ||
France | Massignac | 23.23 | 1 | 0 | 0.0 | ||
France | Saint-Malo | 23.23 | 1 | 0 | 0.0 | ||
Georgia | Tbilisi | 23.23 | 1 | 0 | 0.0 | ||
Germany | Allendorf | 23.23 | 1 | 0 | 0.0 | ||
Germany | Aurich | 23.23 | 1 | 0 | 0.0 | ||
Germany | Bremen | 23.23 | 1 | 0 | 0.0 | ||
Germany | Coburg | 23.23 | 1 | 0 | 0.0 | ||
Germany | Duderstadt | 23.23 | 1 | 0 | 0.0 | ||
Germany | Haiger | 23.23 | 1 | 0 | 0.0 | ||
Germany | Kiel | 23.23 | 1 | 0 | 0.0 | ||
Germany | Leipzig | 23.23 | 1 | 0 | 0.0 | ||
Germany | Neckarsulm | 23.23 | 1 | 0 | 0.0 | -1 | |
Germany | Ohningen | 23.23 | 1 | 0 | 0.0 | ||
Germany | Osnabruck | 23.23 | 1 | 0 | 0.0 | ||
Germany | Otto Philipp Braun | 23.23 | 1 | 0 | 0.0 | ||
Germany | St. Wendel | 23.23 | 1 | 0 | 0.0 | ||
Germany | Straelen | 23.23 | 1 | 0 | 0.0 | ||
Germany | Wurzburg | 23.23 | 1 | 0 | 0.0 | ||
India | Cochin | 23.23 | 1 | 0 | 0.0 | ||
India | Hisar | 23.23 | 1 | 0 | 0.0 | ||
India | Thrissur | 23.23 | 1 | 0 | 0.0 | ||
Indonesia | Medan | 23.23 | 1 | 0 | 0.0 | ||
Indonesia | Surabaya | 23.23 | 1 | 0 | 0.0 | ||
Italy | Casette D'ete | 23.23 | 1 | 0 | 0.0 | ||
Italy | Sant Elpidio A Mare | 23.23 | 1 | 0 | 0.0 | ||
Italy | Tombolo | 23.23 | 1 | 0 | 0.0 | ||
Italy | Torino | 23.23 | 1 | 0 | 0.0 | ||
Italy | Venice | 23.23 | 1 | 0 | 0.0 | ||
Japan | Kiryu City | 23.23 | 1 | 0 | 0.0 | ||
Kazakhstan | Astana | 23.23 | 1 | 0 | 0.0 | ||
Liechtenstein | Vaduz | 23.23 | 1 | 0 | 0.0 | ||
Malaysia | Jeram | 23.23 | 1 | 0 | 0.0 | ||
Malaysia | Sibu | 23.23 | 1 | 0 | 0.0 | ||
Malaysia | Tawau | 23.23 | 1 | 0 | 0.0 | ||
Nepal | Kathmandu | 23.23 | 1 | 0 | 0.0 | ||
Netherlands | Gorinchem | 23.23 | 1 | 0 | 0.0 | ||
Netherlands | Vorden | 23.23 | 1 | 0 | 0.0 | ||
Norway | Kverva | 23.23 | 1 | 0 | 0.0 | ||
Norway | Trondheim | 23.23 | 1 | 0 | 0.0 | ||
Norway | Vettre | 23.23 | 1 | 0 | 0.0 | ||
Poland | Kielce | 23.23 | 1 | 0 | 0.0 | ||
Romania | Bucharest | 23.23 | 1 | 0 | 0.0 | ||
Russia | Magnitogorsk | 23.23 | 1 | 0 | 0.0 | ||
Russia | Solikamsk | 23.23 | 1 | 0 | 0.0 | ||
Switzerland | Arosa | 23.23 | 1 | 0 | 0.0 | ||
Switzerland | Bulle | 23.23 | 1 | 0 | 0.0 | ||
Switzerland | Clarens | 23.23 | 1 | 0 | 0.0 | ||
Switzerland | Davos | 23.23 | 1 | 0 | 0.0 | ||
Switzerland | Fribourg | 23.23 | 1 | 0 | 0.0 | ||
Switzerland | Martigny | 23.23 | 1 | 0 | 0.0 | ||
Switzerland | Rolle | 23.23 | 1 | 0 | 0.0 | ||
Taiwan | Douliu City | 23.23 | 1 | 0 | 0.0 | ||
Tanzania | Dar es Salaam | 23.23 | 1 | 0 | 0.0 | ||
Turks and Caicos | Provinciales | 23.23 | 1 | 0 | 0.0 | ||
Ukraine | Donetsk | 23.23 | 1 | 0 | 0.0 | ||
United Kingdom | Aberdeen | 23.23 | 1 | 0 | 0.0 | ||
United Kingdom | Aberdyfi | 23.23 | 1 | 0 | 0.0 | ||
United Kingdom | Chester | 23.23 | 1 | 0 | 0.0 | ||
United Kingdom | Gloucestershire | 23.23 | 1 | 0 | 0.0 | ||
United Kingdom | Liverpool | 23.23 | 1 | 0 | 0.0 | ||
United Kingdom | Nottingham | 23.23 | 1 | 0 | 0.0 | ||
United Kingdom | Wadhurst | 23.23 | 1 | 0 | 0.0 | ||
United States | Afton | 23.23 | 1 | 0 | 0.0 | ||
United States | Aspen | 23.23 | 1 | 0 | 0.0 | ||
United States | Belgrade | 23.23 | 1 | 0 | 0.0 | ||
United States | Big Horn | 23.23 | 1 | 0 | 0.0 | ||
United States | Birchwood | 23.23 | 1 | 0 | 0.0 | ||
United States | Bloomington | 23.23 | 1 | 0 | 0.0 | ||
United States | Bozeman | 23.23 | 1 | 0 | 0.0 | ||
United States | Brookville | 23.23 | 1 | 0 | 0.0 | ||
United States | Cape Coral | 23.23 | 1 | 0 | 0.0 | ||
United States | Charleston | 23.23 | 1 | 0 | 0.0 | ||
United States | Chico | 23.23 | 1 | 0 | 0.0 | 1 | |
United States | Daytona Beach | 23.23 | 1 | 0 | 0.0 | ||
United States | Eau Claire | 23.23 | 1 | 0 | 0.0 | ||
United States | Fort Lauderdale | 23.23 | 1 | 0 | 0.0 | ||
United States | Grand Rapids | 23.23 | 1 | 0 | 0.0 | ||
United States | Hanover | 23.23 | 1 | 0 | 0.0 | ||
United States | Holland | 23.23 | 1 | 0 | 0.0 | ||
United States | Honolulu | 23.23 | 1 | 0 | 0.0 | ||
United States | Islamorada | 23.23 | 1 | 0 | 0.0 | ||
United States | Kohler | 23.23 | 1 | 0 | 0.0 | ||
United States | Lakeland | 23.23 | 1 | 0 | 0.0 | ||
United States | Lewisburg | 23.23 | 1 | 0 | 0.0 | ||
United States | Lexington | 23.23 | 1 | 0 | 0.0 | ||
United States | Liberty | 23.23 | 1 | 0 | 0.0 | ||
United States | Little Rock | 23.23 | 1 | 0 | 0.0 | ||
United States | Livingston | 23.23 | 1 | 0 | 0.0 | ||
United States | Mankato | 23.23 | 1 | 0 | 0.0 | ||
United States | Marathon | 23.23 | 1 | 0 | 0.0 | ||
United States | Norwich | 23.23 | 1 | 0 | 0.0 | ||
United States | Old Lyme | 23.23 | 1 | 0 | 0.0 | ||
United States | Pottsville | 23.23 | 1 | 0 | 0.0 | ||
United States | Redding | 23.23 | 1 | 0 | 0.0 | ||
United States | San Juan Islands | 23.23 | 1 | 0 | 0.0 | ||
United States | Santa Cruz | 23.23 | 1 | 0 | 0.0 | ||
United States | Sheridan | 23.23 | 1 | 0 | 0.0 | ||
United States | Sioux Falls | 23.23 | 1 | 0 | 0.0 | ||
United States | Springdale | 23.23 | 1 | 0 | 0.0 | ||
United States | Stockton | 23.23 | 1 | 0 | 0.0 | ||
United States | Temple | 23.23 | 1 | 0 | 0.0 | ||
United States | The Plains | 23.23 | 1 | 0 | 0.0 | ||
United States | Youngstown | 23.23 | 1 | 0 | 0.0 | ||
Mexico | Culiacan | 23.07 | 0 | 1 | 0.2 |
The Economic Power Index is our measure of wealth of cities around the world. It’s a balance between where the wealthy reside, and where they create their wealth; where the billionaires live and where the leading public companies in the world are headquartered. The two are not necessarily the same; an important disparity can exist between cities on this point. Our ranking highlights the importance of a city in the global economy and its access to key actors.
This year, ranking might have also been influenced by the rising U.S. dollar in comparison to other currencies. European countries have not done great, but this can be attributed to both drops in the currency and economic slowdown. With the U.S. dollar being our base currency, this can explain some of the variation experienced this year.
All information is expressed in USD. The data has been collected in fall 2016.
Cities have been regrouped into major metropolitan or economic areas e.g. San Jose was counted into San Francisco Bay Area. They respect the geographic and administrative definition given by their government.
Billionaire Residents
The data has been taken from numerous sources (mostly from Forbes), but all of it requires them to produce a name (if not a face) to each billionaire. The individuals having more than one place of residence were attributed to the most likely city in which they would reside and conduct business. Missing data regarding the city of residence was researched individually.
Global 2000 Public Companies
The data was taken exclusively from Forbes. Missing data regarding the location of the headquarters was researched individually.
Billionaire Residents
Most of the data was taken from Forbes 2016 List of World’s Billionaires.
http://www.forbes.com/billionaires/
Others per taken from local sources.
For the UK: Sunday Times Rich List 2016
For Australia: BRW List of 200 Richest 2016
For France: Challenges France Wealthiest 2016
For Canada: Canadian Business: Canada’s Richest People
Global 2000 Public Companies
Forbes 2016 World’s Biggest Public Companies