The RCG Global Economic Power Index (EPI) is a measure of the economic strength of cities around the world. The EPI combines data from the Forbes Billionaires List and the Global 2000 companies. The Global Power City Index is weighted according to where billionaires live and leading public companies are headquartered, a sort of marriage between where the wealthy reside and where wealth is created. Both are not always the same, as certain tax-friendly jurisdictions can be home to plenty of billionaires but no G2000 companies.
Our ranking highlights the importance of global cities to the world’s economy. Their rise and fall can be tracked over time. Much wealth remains in the West, but China is rapidly changing all that with the rise of its megalopolises (clusters of large cities in a key location). EPI is the most accurate ranking of countries’ economic power. Find out who really wields the most economic power in the world.
Rank | Country | City | EPI21 | Billis | Billis Net Worth ($B) | G2000 Companies | G2000 Market Value ($B) |
---|---|---|---|---|---|---|---|
1 | United States | New York MSA | 125 | 151 | 709.6 | 95 | 4158.2 |
2 | United States | San Francisco Bay Area | 111 | 109 | 758.2 | 73 | 6625.8 |
3 | China | Shanghai Yangtze River Delta Megalopolis | 98 | 147 | 699.9 | 65 | 1346.4 |
4 | China | Beijing Jing-Jin-Ji Megalopolis | 85 | 87 | 444.6 | 80 | 2087.1 |
5 | Japan | Tokyo Capital Area | 75 | 27 | 136.9 | 142 | 2201.4 |
6 | China | Guangzhou Pearl River Delta Megalopolis | 74 | 88 | 527.3 | 41 | 1427.9 |
7 | Hong Kong | Hong Kong | 69 | 72 | 387.4 | 59 | 1075.5 |
8 | United Kingdom | London Greater Area | 67 | 65 | 309.7 | 60 | 1415 |
9 | France | Paris Ile de France | 57 | 21 | 336.9 | 55 | 1628.7 |
10 | United States | Seattle Metropolitan Area | 53 | 11 | 458.5 | 12 | 2930 |
11 | United States | Los Angeles Greater Area | 52 | 56 | 327.5 | 23 | 801.3 |
12 | Russia | Moscow | 51 | 73 | 376.6 | 14 | 314.4 |
13 | South Korea | Seoul Capital Ara | 46 | 41 | 105.3 | 52 | 683.9 |
14 | India | Mumbai Metropolitan Region | 44 | 42 | 215.9 | 26 | 582.3 |
15 | United States | Dallas- Forth Worth Area | 38 | 26 | 144.4 | 22 | 823.2 |
16 | United States | Chicago Greater Area | 37 | 18 | 66.7 | 37 | 1158.3 |
17 | Taiwan | Taipei Metrolitan Area | 33 | 30 | 76.7 | 32 | 313 |
18 | Switzerland | Zurich Greater | 32 | 24 | 108.2 | 21 | 438.8 |
18 | United States | Boston Greater | 32 | 20 | 71.5 | 21 | 801.5 |
18 | United States | Miami Metropolitain Area | 32 | 38 | 142.4 | 11 | 234.8 |
21 | Canada | Toronto Greater Area | 30 | 13 | 69.5 | 26 | 619.5 |
21 | Singapore | Singapore | 30 | 31 | 147.1 | 12 | 176.5 |
23 | Sweden | Stockholm | 28 | 16 | 83.3 | 22 | 373.2 |
23 | Thailand | Bangkok | 28 | 31 | 97.7 | 15 | 174.4 |
23 | United States | Atlanta Metropolitan Area | 28 | 13 | 56.6 | 16 | 786.8 |
26 | United States | Washington MSA | 27 | 13 | 69.3 | 20 | 546.2 |
27 | China | Wuhan Yangtze River Midstream Megalopolis | 25 | 20 | 68.3 | 20 | 181.1 |
27 | Japan | Osaka-Kobe-Kyoto Metropolitan Area | 25 | 2 | 31.3 | 33 | 557.5 |
27 | United States | Houston | 25 | 16 | 55 | 20 | 343.1 |
30 | Australia | Sydney | 24 | 14 | 62 | 18 | 298.9 |
30 | Brazil | Sao Paulo | 24 | 26 | 87.1 | 9 | 139.8 |
30 | Germany | Rhine-Ruhr metropolitan region | 24 | 10 | 90 | 15 | 323.8 |
30 | India | New Delhi | 24 | 25 | 91.2 | 9 | 105.4 |
33 | United States | Omaha | 23 | 3 | 93.8 | 3 | 585 |
34 | Germany | Munich | 22 | 14 | 68.4 | 10 | 281.1 |
34 | Mexico | Mexico City | 22 | 14 | 126.2 | 7 | 86.1 |
34 | United States | Bentonville | 22 | 2 | 140.2 | 1 | 344.4 |
37 | China | Chengyu Megalopolis | 21 | 17 | 87.9 | 7 | 126.2 |
37 | United States | Philadelphia | 21 | 8 | 25.2 | 18 | 403.6 |
39 | Canada | Montreal | 20 | 13 | 34.3 | 13 | 240.5 |
39 | Italy | Milan | 20 | 18 | 85.7 | 9 | 58 |
41 | Australia | Melbourne | 19 | 10 | 32 | 10 | 361.6 |
41 | Ireland | Dublin | 19 | 4 | 10.4 | 17 | 590.2 |
41 | Spain | Madrid | 19 | 13 | 26.9 | 15 | 208 |
44 | Israel | Tel Aviv | 18 | 18 | 45.4 | 12 | 62.4 |
44 | Saudi Arabia | Damman | 18 | 0 | 0 | 1 | 1684.8 |
44 | Switzerland | Basel | 18 | 6 | 20.4 | 5 | 529.6 |
44 | United States | Denver | 18 | 7 | 36.7 | 12 | 212.9 |
44 | United States | Detroit | 17 | 6 | 53.4 | 9 | 117.8 |
49 | Austria | Vienna | 16 | 6 | 29.1 | 8 | 216.7 |
49 | China | Lianyungang | 16 | 5 | 51.5 | 2 | 91 |
49 | China | Xiamen-Quanzhou Area | 16 | 17 | 52.9 | 5 | 40 |
49 | Germany | Frankfurt | 16 | 5 | 54.9 | 7 | 128.6 |
49 | Malaysia | Kuala Lumpur | 16 | 10 | 43.4 | 10 | 91.3 |
49 | Netherlands | Amsterdam | 16 | 8 | 18.5 | 12 | 205.9 |
49 | Philippines | Manila | 16 | 15 | 43.1 | 7 | 48.6 |
49 | United States | Phoenix | 16 | 11 | 43.9 | 7 | 86.9 |
56 | China | Zhengzhou Central Plain Megalopolis | 15 | 12 | 47 | 5 | 54.4 |
56 | Germany | Mannheim | 15 | 5 | 40 | 3 | 198.8 |
56 | Spain | La Coruna | 15 | 2 | 83.8 | 1 | 79.3 |
56 | Switzerland | Geneva | 15 | 11 | 33.4 | 4 | 103.2 |
56 | Turkey | Istanbul | 15 | 19 | 30.8 | 8 | 24.3 |
56 | United States | Austin | 15 | 9 | 63.6 | 2 | 56.8 |
56 | United States | Las Vegas | 15 | 8 | 56.9 | 5 | 69 |
56 | United States | Minneapolis | 15 | 1 | 2 | 11 | 648.2 |
56 | United States | Portland | 15 | 4 | 59.3 | 1 | 135.6 |
65 | Belgium | Brussels | 14 | 2 | 28 | 8 | 171.3 |
65 | China | Jinan Shandong Peninsula Megalopolis | 14 | 7 | 22 | 10 | 95.4 |
65 | United States | Indianapolis | 14 | 3 | 16.4 | 7 | 283.4 |
68 | Brazil | Rio de Janeiro | 13 | 11 | 19.9 | 4 | 99.7 |
68 | Finland | Helsinki | 13 | 6 | 16 | 9 | 147.2 |
68 | India | Bangalore | 13 | 11 | 31.4 | 4 | 59.1 |
68 | Indonesia | Jakarta | 13 | 11 | 24.4 | 4 | 84.4 |
68 | Monaco | Monaco | 13 | 13 | 52.4 | 1 | 10.7 |
68 | United States | Nashville | 13 | 5 | 24.8 | 5 | 156.1 |
74 | Australia | Perth | 12 | 4 | 37.5 | 3 | 66.1 |
74 | Denmark | Copenhagen | 12 | 2 | 9.2 | 7 | 247.5 |
74 | India | Ahmedabad | 12 | 8 | 49.3 | 2 | 9.5 |
74 | United Arab Emirates | Dubai | 12 | 10 | 23.8 | 5 | 43.9 |
74 | United States | Saint Louis | 12 | 6 | 19.3 | 6 | 108.9 |
74 | United States | San Diego | 12 | 4 | 10.5 | 5 | 221.3 |
81 | Canada | Vancouver | 11 | 5 | 19.9 | 4 | 71.7 |
81 | Chile | Santiago | 11 | 7 | 30.4 | 6 | 23.4 |
81 | China | Ningde | 11 | 3 | 35.8 | 1 | 44.6 |
81 | Czech Republic | Prague | 11 | 8 | 40.3 | 1 | 10 |
81 | Germany | Hamburg | 11 | 9 | 34.9 | 1 | 23.7 |
81 | Italy | Rome | 11 | 3 | 6.3 | 7 | 152.7 |
81 | Japan | Nagoya | 11 | 0 | 0 | 12 | 287 |
81 | Norway | Oslo | 11 | 7 | 15.2 | 6 | 66.9 |
81 | Saudi Arabia | Riyadh | 11 | 1 | 1.3 | 12 | 256.4 |
81 | United States | Cleveland | 11 | 4 | 4.4 | 8 | 182.1 |
81 | United States | Jackson | 11 | 4 | 56.6 | 1 | 16.3 |
81 | United States | Milwaukee | 11 | 3 | 11.7 | 5 | 127.5 |
81 | United States | Tampa | 11 | 8 | 18.8 | 4 | 54.1 |
94 | Germany | Berlin | 10 | 7 | 20.2 | 3 | 43.3 |
94 | Taiwan | Hsinchu | 10 | 1 | 2.2 | 2 | 287.6 |
94 | United States | Charlotte | 10 | 0 | 0 | 6 | 382.1 |
94 | United States | Cincinnati | 10 | 0 | 0 | 7 | 371.8 |
98 | Canada | Calgary | 9 | 0 | 0 | 11 | 222.4 |
98 | China | Shenyang Mid-Southern Liaoning Megalopolis | 9 | 5 | 13.7 | 5 | 38 |
98 | Germany | Nuremberg | 9 | 3 | 18.9 | 3 | 49.4 |
98 | Germany | Stuttgart | 9 | 5 | 11.4 | 3 | 54.1 |
98 | India | Pune | 9 | 4 | 20.6 | 3 | 27.9 |
98 | South Africa | Cape Town | 9 | 3 | 10.5 | 2 | 74.5 |
98 | South Africa | Johannesburg | 9 | 2 | 10.2 | 9 | 40.7 |
98 | Spain | Barcelona | 9 | 5 | 6.6 | 5 | 61.5 |
98 | Switzerland | Lucerne | 9 | 6 | 19.9 | 2 | 27.3 |
98 | United States | Columbus | 9 | 1 | 5.4 | 7 | 115.5 |
98 | United States | Oklahoma City | 9 | 4 | 24.1 | 3 | 21 |
98 | United States | Raleigh | 9 | 4 | 16.9 | 3 | 43 |
98 | United States | Wichita | 9 | 1 | 44.9 | 1 | 2.3 |
111 | Argentina | Buenos Aires | 8 | 5 | 14.5 | 2 | 31.7 |
111 | Canada | Ottawa | 8 | 2 | 9.8 | 1 | 73.7 |
111 | China | Xi'an Guanzhong Plain Megalopolis | 8 | 3 | 11.5 | 4 | 31.4 |
111 | Colombia | Bogota | 8 | 2 | 10.9 | 4 | 32.7 |
111 | India | Kolkata | 8 | 4 | 11.2 | 2 | 42.1 |
111 | Indonesia | Kudus | 8 | 2 | 38.1 | 0 | 0 |
111 | Netherlands | Eindhoven | 8 | 1 | 2 | 2 | 152.3 |
111 | Switzerland | Vevey | 8 | 0 | 0 | 1 | 304.1 |
111 | United Arab Emirates | Abu Dhabi | 8 | 2 | 5.8 | 4 | 83.1 |
111 | United States | Baltimore | 8 | 3 | 11.9 | 2 | 47.1 |
111 | United States | Memphis | 8 | 1 | 6.3 | 5 | 86 |
111 | United States | Naples | 8 | 6 | 27.6 | 1 | 0 |
111 | United States | Richmond | 8 | 0 | 0 | 7 | 182.6 |
111 | Vietnam | Hanoi | 8 | 3 | 9.9 | 4 | 33.4 |
126 | China | Renhuai | 7 | 0 | 0 | 1 | 225.5 |
126 | China | Wenzhou | 7 | 7 | 17.1 | 0 | 0 |
126 | Denmark | Billund | 7 | 4 | 26.8 | 0 | 0 |
126 | Egypt | Cairo | 7 | 5 | 18.1 | 1 | 6 |
126 | France | Laval | 7 | 3 | 29.7 | 0 | 0 |
126 | Germany | Bielefeld | 7 | 7 | 17.5 | 0 | 0 |
126 | Germany | Neckarsulm | 7 | 1 | 35.7 | 0 | 0 |
126 | Italy | Venice | 7 | 7 | 19.4 | 0 | 0 |
126 | Nigeria | Lagos | 7 | 3 | 21.3 | 1 | 1.2 |
126 | Poland | Warsaw | 7 | 3 | 7.2 | 5 | 23.3 |
126 | Qatar | Doha | 7 | 1 | 1.5 | 6 | 83.4 |
126 | Taiwan | Taichung | 7 | 4 | 6 | 3 | 27.9 |
126 | United States | Hartford | 7 | 0 | 0 | 6 | 166.2 |
126 | United States | Kansas City | 7 | 1 | 4.4 | 4 | 53.6 |
126 | United States | Norfolk | 7 | 1 | 3.9 | 3 | 70.5 |
126 | United States | Pittsburgh | 7 | 0 | 0 | 8 | 118.1 |
126 | United States | Tulsa | 7 | 2 | 8.6 | 3 | 39.5 |
144 | Austria | Salzburg | 6 | 1 | 27.6 | 0 | 0 |
144 | China | Harbin-Changchun Megalopolis | 6 | 2 | 3.5 | 4 | 42.5 |
144 | China | Yinchuan | 6 | 2 | 12.2 | 1 | 8.8 |
144 | Denmark | Aarhus | 6 | 1 | 11 | 1 | 16.8 |
144 | France | Lyon | 6 | 3 | 12.3 | 1 | 6 |
144 | India | Hyderabad | 6 | 6 | 15.8 | 0 | 0 |
144 | Japan | Kyoto | 6 | 2 | 12 | 2 | 10 |
144 | Netherlands | Rotterdam | 6 | 0 | 0 | 2 | 138 |
144 | Netherlands | The Hague | 6 | 0 | 0 | 3 | 141.5 |
144 | Peru | Lima | 6 | 4 | 8.2 | 2 | 16.1 |
144 | Sweden | Gothenberg | 6 | 4 | 15.9 | 0 | 0 |
144 | Switzerland | Gstaad | 6 | 3 | 18.2 | 0 | 0 |
144 | United Kingdom | Stoke-on-Trent | 6 | 3 | 17.3 | 0 | 0 |
144 | United States | Allentown | 6 | 1 | 1.9 | 2 | 69.3 |
144 | United States | Jacksonville | 6 | 0 | 0 | 3 | 139.6 |
144 | United States | Louisville | 6 | 1 | 1 | 3 | 106.2 |
144 | United States | Salt Lake City | 6 | 4 | 5.4 | 3 | 20.3 |
144 | United States | San Antonio | 6 | 3 | 4.7 | 3 | 30.3 |
162 | Australia | Brisbane | 5 | 4 | 6.7 | 1 | 7.6 |
162 | Bermuda | Hamilton | 5 | 0 | 0 | 6 | 51.2 |
162 | China | Kunming | 5 | 2 | 6.3 | 1 | 16.4 |
162 | China | Suqian | 5 | 2 | 3.5 | 1 | 21 |
162 | China | Tonghua | 5 | 2 | 15.8 | 0 | 0 |
162 | Germany | Kuenzelsau | 5 | 1 | 20 | 0 | 0 |
162 | Germany | Melsungen | 5 | 7 | 8.3 | 0 | 0 |
162 | Kazakhstan | Almaty | 5 | 3 | 10 | 1 | 2.6 |
162 | Kuwait | Kuwait City | 5 | 1 | 1.3 | 3 | 38.3 |
162 | Luxembourg | Luxembourg City | 5 | 0 | 0 | 6 | 42.5 |
162 | Morocco | Casablanca | 5 | 2 | 4.8 | 2 | 11.3 |
162 | New Zealand | Auckland | 5 | 2 | 13.9 | 0 | 0 |
162 | Russia | Magnitogorsk | 5 | 1 | 8.9 | 1 | 6.1 |
162 | Russia | St. Petersburg | 5 | 3 | 4.8 | 2 | 15.8 |
162 | Russia | Yekaterinburg | 5 | 3 | 12.7 | 0 | 0 |
162 | Spain | Valencia | 5 | 3 | 9.3 | 1 | 3.1 |
162 | Switzerland | Lausanne | 5 | 1 | 7.8 | 1 | 7.6 |
162 | Switzerland | St. Gallen | 5 | 1 | 8.6 | 1 | 4.5 |
162 | United States | Columbia | 5 | 2 | 17.7 | 0 | 0 |
162 | United States | Des Moines | 5 | 1 | 5.4 | 2 | 11.9 |
162 | United States | Eau Claire | 5 | 1 | 14.2 | 0 | 0 |
162 | United States | Fayetteville | 5 | 1 | 3.5 | 2 | 33 |
162 | United States | Honolulu | 5 | 1 | 19.2 | 0 | 0 |
162 | United States | Madison | 5 | 1 | 5.5 | 1 | 11.9 |
162 | United States | Springfield | 5 | 1 | 4.1 | 1 | 28.7 |
187 | Australia | Scone | 4 | 1 | 8.2 | 0 | 0 |
187 | Bahamas | Nassau | 4 | 2 | 6.7 | 0 | 0 |
187 | Brazil | Fortaleza | 4 | 3 | 7.2 | 0 | 0 |
187 | Canada | Saint John | 4 | 2 | 9.5 | 0 | 0 |
187 | Cayman Islands | George Town | 4 | 2 | 6.6 | 1 | 2.2 |
187 | China | Shantou | 4 | 3 | 8.4 | 0 | 0 |
187 | China | Urumqi | 4 | 2 | 4.2 | 2 | 7.8 |
187 | Germany | Bruchsal | 4 | 2 | 8.9 | 0 | 0 |
187 | Germany | Haiger | 4 | 1 | 8.9 | 0 | 0 |
187 | Germany | Karlsruhe | 4 | 1 | 4.1 | 1 | 14.7 |
187 | Germany | Thurgau | 4 | 1 | 8.4 | 0 | 0 |
187 | Germany | Ulm | 4 | 2 | 9.1 | 0 | 0 |
187 | Germany | Wolfsburg | 4 | 0 | 0 | 1 | 70.4 |
187 | Greece | Athens | 4 | 1 | 1.2 | 5 | 3.8 |
187 | Hungary | Budapest | 4 | 2 | 2.4 | 2 | 12.3 |
187 | India | Chennai | 4 | 4 | 6.3 | 1 | 0 |
187 | Japan | Fukuoka | 4 | 1 | 3.3 | 3 | 6.6 |
187 | Mexico | Monterrey | 4 | 0 | 0 | 5 | 43.6 |
187 | Norway | Stavanger | 4 | 0 | 0 | 1 | 46.4 |
187 | Portugal | Lisbon | 4 | 0 | 0 | 3 | 35.5 |
187 | Russia | Kazan | 4 | 4 | 5.6 | 0 | 0 |
187 | Russia | Krasnodar | 4 | 1 | 3.5 | 1 | 5.1 |
187 | Russia | Surgut | 4 | 1 | 1.9 | 1 | 17.9 |
187 | Spain | Bilbao | 4 | 0 | 0 | 1 | 62.5 |
187 | Sweden | Gotenborg | 4 | 0 | 0 | 3 | 40.7 |
187 | Switzerland | Lugano | 4 | 3 | 10.3 | 0 | 0 |
187 | Switzerland | Zermatt | 4 | 1 | 13.3 | 0 | 0 |
187 | Taiwan | Kaohsiung City | 4 | 0 | 0 | 3 | 38.8 |
187 | Turkey | Ankara | 4 | 3 | 6.3 | 0 | 0 |
187 | Ukraine | Kiev | 4 | 5 | 6.4 | 0 | 0 |
187 | United Kingdom | Bristol | 4 | 1 | 3.5 | 1 | 20 |
187 | United Kingdom | Gloucestershire | 4 | 2 | 11.4 | 0 | 0 |
187 | United Kingdom | Newmarket | 4 | 1 | 13.2 | 0 | 0 |
187 | United States | Afton | 4 | 1 | 8 | 0 | 0 |
187 | United States | Birmingham | 4 | 0 | 0 | 3 | 34.3 |
187 | United States | Boise | 4 | 0 | 0 | 2 | 62.3 |
187 | United States | Buffalo | 4 | 1 | 2.6 | 1 | 14.6 |
187 | United States | Grand Rapids | 4 | 1 | 10.2 | 0 | 0 |
187 | United States | Incline Village | 4 | 1 | 12.5 | 0 | 0 |
187 | United States | Kalamazoo | 4 | 0 | 0 | 1 | 69.9 |
187 | United States | Kohler | 4 | 1 | 8.3 | 0 | 0 |
187 | United States | Missoula | 4 | 2 | 8.3 | 0 | 0 |
187 | United States | New Orleans | 4 | 1 | 3.3 | 1 | 19.2 |
187 | United States | Rochester | 4 | 0 | 0 | 2 | 56 |
187 | United States | Santa Barbara | 4 | 2 | 11.4 | 0 | 0 |
187 | United States | Winston-Salem | 4 | 0 | 0 | 1 | 50.3 |
234 | Algeria | Algiers | 3 | 1 | 7.5 | 0 | 0 |
234 | Austria | Innsbruck | 3 | 1 | 5.2 | 0 | 0 |
234 | Bahrain | Manama | 3 | 1 | 1.5 | 1 | 6.1 |
234 | Brazil | Curitiba | 3 | 2 | 5.2 | 0 | 0 |
234 | British Virgin Islands | Necker Island | 3 | 1 | 4.5 | 0 | 0 |
234 | Cambodia | Phnom Penh | 3 | 1 | 4.8 | 0 | 0 |
234 | Canada | Edmonton | 3 | 1 | 3.5 | 0 | 0 |
234 | Canada | Saskatoon | 3 | 0 | 0 | 1 | 20.4 |
234 | Canada | Windsor | 3 | 2 | 3.6 | 0 | 0 |
234 | China | Hohhot | 3 | 0 | 0 | 1 | 24.5 |
234 | China | Jining | 3 | 1 | 3.1 | 1 | 3.7 |
234 | China | Lanzhou | 3 | 2 | 5.8 | 0 | 0 |
234 | China | Nanning Beibu Gulf Megalopolis | 3 | 1 | 1.1 | 1 | 4.1 |
234 | China | Putian | 3 | 1 | 3.5 | 0 | 0 |
234 | China | Zhaoyuan | 3 | 1 | 3.7 | 0 | 0 |
234 | Denmark | Fredericia | 3 | 0 | 0 | 1 | 42.5 |
234 | Denmark | Humlebæk | 3 | 0 | 0 | 1 | 33.6 |
234 | France | Lille | 3 | 2 | 5.8 | 0 | 0 |
234 | France | Marseille | 3 | 1 | 7 | 0 | 0 |
234 | France | Martigny | 3 | 1 | 5.3 | 0 | 0 |
234 | France | Montpellier | 3 | 1 | 3.6 | 0 | 0 |
234 | France | Nantes | 3 | 2 | 5.1 | 0 | 0 |
234 | Georgia | Tbilisi | 3 | 1 | 4.8 | 0 | 0 |
234 | Germany | Allendorf | 3 | 3 | 5.1 | 0 | 0 |
234 | Germany | Aurich | 3 | 1 | 5.7 | 0 | 0 |
234 | Germany | Dresden | 3 | 2 | 5.6 | 0 | 0 |
234 | Germany | Duderstadt | 3 | 1 | 3.5 | 0 | 0 |
234 | Germany | Hannover | 3 | 0 | 0 | 3 | 28.3 |
234 | Germany | Hanover | 3 | 1 | 4.4 | 0 | 0 |
234 | Germany | Marburg | 3 | 2 | 3.4 | 0 | 0 |
234 | Germany | Montabaur | 3 | 1 | 4 | 0 | 0 |
234 | Germany | Passau | 3 | 1 | 5.2 | 0 | 0 |
234 | India | Baroda | 3 | 1 | 1.7 | 1 | 3 |
234 | India | Hisar | 3 | 1 | 7.4 | 0 | 0 |
234 | Indonesia | Bandung | 3 | 0 | 0 | 1 | 23.3 |
234 | Ireland | Cork | 3 | 0 | 0 | 1 | 22.2 |
234 | Ireland | Tralee | 3 | 0 | 0 | 1 | 20.3 |
234 | Italy | Bassano del Grappa | 3 | 1 | 4.2 | 0 | 0 |
234 | Italy | Bologna | 3 | 1 | 2.1 | 1 | 2.5 |
234 | Italy | Modena | 3 | 0 | 0 | 2 | 29 |
234 | Italy | Torino | 3 | 1 | 5.2 | 0 | 0 |
234 | Italy | Trieste | 3 | 0 | 0 | 1 | 22.5 |
234 | Italy | Turin | 3 | 0 | 0 | 1 | 27.3 |
234 | Japan | Hamamatsu | 3 | 0 | 0 | 2 | 20.3 |
234 | Japan | Minamitsuru | 3 | 0 | 0 | 1 | 32 |
234 | Japan | Sapporo | 3 | 1 | 5.7 | 1 | 0 |
234 | Lebanon | Beirut | 3 | 2 | 4.8 | 2 | 0 |
234 | Liechtenstein | Vaduz | 3 | 1 | 3.5 | 0 | 0 |
234 | Netherlands | Heerlen | 3 | 0 | 0 | 1 | 21 |
234 | Norway | Trondheim | 3 | 1 | 5.7 | 0 | 0 |
234 | Oman | Muscat | 3 | 1 | 2.3 | 1 | 2.7 |
234 | Poland | Kielce | 3 | 1 | 4.2 | 0 | 0 |
234 | Portugal | Porto | 3 | 1 | 4.5 | 1 | 1.7 |
234 | Russia | Tarko-Sale | 3 | 0 | 0 | 1 | 42.6 |
234 | Saudi Arabia | Jeddah | 3 | 0 | 0 | 1 | 29.6 |
234 | Swaziland | Mbabane | 3 | 1 | 4.2 | 0 | 0 |
234 | Switzerland | Arosa | 3 | 1 | 3.9 | 0 | 0 |
234 | Switzerland | Bern | 3 | 0 | 0 | 1 | 26.9 |
234 | Switzerland | Davos | 3 | 1 | 5.6 | 0 | 0 |
234 | Switzerland | Fribourg | 3 | 0 | 0 | 1 | 26 |
234 | Switzerland | Schaffhausen | 3 | 0 | 0 | 1 | 24.5 |
234 | Taiwan | Taoyuan | 3 | 0 | 0 | 2 | 20.6 |
234 | United Kingdom | Cardiff | 3 | 1 | 1.5 | 1 | 8.6 |
234 | United Kingdom | Island of Brecquou | 3 | 1 | 4.2 | 0 | 0 |
234 | United Kingdom | Isle of Man | 3 | 1 | 4.9 | 0 | 0 |
234 | United Kingdom | Newbury | 3 | 0 | 0 | 1 | 37.9 |
234 | United States | Battle Creek | 3 | 0 | 0 | 1 | 22.4 |
234 | United States | Canandaigua | 3 | 2 | 4 | 0 | 0 |
234 | United States | Chattanooga | 3 | 1 | 1.3 | 1 | 3.5 |
234 | United States | Daytona Beach | 3 | 2 | 3.8 | 0 | 0 |
234 | United States | Erie | 3 | 1 | 4 | 0 | 0 |
234 | United States | Findlay | 3 | 0 | 0 | 1 | 20.9 |
234 | United States | Greensboro | 3 | 0 | 0 | 1 | 22.9 |
234 | United States | Harrisburg | 3 | 0 | 0 | 2 | 27.5 |
234 | United States | Hattiesburg | 3 | 2 | 2.8 | 0 | 0 |
234 | United States | Idaho Falls | 3 | 1 | 3.5 | 0 | 0 |
234 | United States | Islamorada | 3 | 1 | 3.8 | 0 | 0 |
234 | United States | Knoxville | 3 | 2 | 4.7 | 0 | 0 |
234 | United States | Midland | 3 | 0 | 0 | 2 | 34.1 |
234 | United States | Moline | 3 | 0 | 0 | 1 | 45.5 |
234 | United States | Portage | 3 | 1 | 6.5 | 0 | 0 |
234 | United States | Providence | 3 | 0 | 0 | 2 | 15.6 |
234 | United States | Reno | 3 | 3 | 3.5 | 0 | 0 |
234 | United States | Santa Cruz | 3 | 1 | 5 | 0 | 0 |
234 | United States | Sioux Falls | 3 | 1 | 1.6 | 1 | 4.5 |
234 | United States | Toledo | 3 | 0 | 0 | 1 | 21 |
234 | United States | Westbrook | 3 | 0 | 0 | 1 | 23.7 |
234 | United States | Wilson | 3 | 1 | 6.1 | 0 | 0 |
234 | United States | Winona | 3 | 0 | 0 | 1 | 20.7 |
234 | Venezuela | Caracas | 3 | 1 | 3.6 | 1 | 0 |
234 | Vietnam | Ho Chi Minh City | 3 | 3 | 5.2 | 0 | 0 |
325 | Angola | Luanda | 2 | 1 | 1.7 | 0 | 0 |
325 | Argentina | Manantiales | 2 | 1 | 2.8 | 0 | 0 |
325 | Australia | Adelaide | 2 | 0 | 0 | 1 | 6.7 |
325 | Australia | Canberra | 2 | 1 | 1.3 | 0 | 0 |
325 | Australia | Gold Coast | 2 | 1 | 1.5 | 0 | 0 |
325 | Austria | Graz | 2 | 1 | 1.6 | 0 | 0 |
325 | Austria | Klagenfurt | 2 | 1 | 1.1 | 0 | 0 |
325 | Austria | Wels | 2 | 1 | 1 | 0 | 0 |
325 | Belgium | Ghent | 2 | 1 | 1.2 | 0 | 0 |
325 | Brazil | Belo Horizonte | 2 | 1 | 1.3 | 1 | 2.6 |
325 | Brazil | Brasilia | 2 | 0 | 0 | 1 | 14.7 |
325 | Brazil | Brusque | 2 | 1 | 2.6 | 0 | 0 |
325 | Brazil | Jaraguá do Sul | 2 | 0 | 0 | 1 | 15.5 |
325 | Brazil | Manaus | 2 | 1 | 1.4 | 0 | 0 |
325 | Brazil | Porto Alegre | 2 | 1 | 2.1 | 0 | 0 |
325 | Brazil | Salvador | 2 | 0 | 0 | 1 | 9.8 |
325 | Canada | Aurora | 2 | 0 | 0 | 1 | 11.7 |
325 | Canada | Halifax | 2 | 0 | 0 | 1 | 9.7 |
325 | Canada | St. John's | 2 | 0 | 0 | 1 | 18 |
325 | Canada | Stellarton | 2 | 0 | 0 | 1 | 6 |
325 | Canada | Whistler | 2 | 1 | 1.1 | 0 | 0 |
325 | China | Baotou | 2 | 0 | 0 | 1 | 7 |
325 | China | Datong | 2 | 0 | 0 | 1 | 15.1 |
325 | China | Guiyang | 2 | 0 | 0 | 2 | 8.2 |
325 | China | Laizhou | 2 | 1 | 1.1 | 0 | 0 |
325 | China | Longkou | 2 | 1 | 2.6 | 0 | 0 |
325 | China | Luzhou | 2 | 0 | 0 | 1 | 16.4 |
325 | China | Nanping | 2 | 1 | 2.5 | 0 | 0 |
325 | China | Quzhou | 2 | 1 | 1 | 0 | 0 |
325 | China | Xuzhou | 2 | 0 | 0 | 1 | 6.2 |
325 | China | Yunfu | 2 | 1 | 1.1 | 0 | 0 |
325 | Colombia | Medellin | 2 | 0 | 0 | 1 | 6.2 |
325 | Cyprus | Limassol | 2 | 0 | 0 | 1 | 4.6 |
325 | Cyprus | Nicosia | 2 | 1 | 2 | 0 | 0 |
325 | Denmark | Haderslev | 2 | 2 | 2 | 0 | 0 |
325 | Denmark | Nordborg | 2 | 1 | 1.2 | 0 | 0 |
325 | France | Clermont-Ferrand | 2 | 0 | 0 | 1 | 17.4 |
325 | France | Limoges | 2 | 0 | 0 | 1 | 18 |
325 | France | Pujols | 2 | 1 | 2.4 | 0 | 0 |
325 | France | Saint-Émilion | 2 | 1 | 2.5 | 0 | 0 |
325 | Germany | Aschau | 2 | 1 | 1 | 0 | 0 |
325 | Germany | Augsburg | 2 | 1 | 1.4 | 0 | 0 |
325 | Germany | Bremen | 2 | 1 | 3.1 | 0 | 0 |
325 | Germany | Brunswick | 2 | 1 | 2.5 | 0 | 0 |
325 | Germany | Goettingen | 2 | 0 | 0 | 1 | 19.2 |
325 | Germany | Grebenhain | 2 | 1 | 1.8 | 0 | 0 |
325 | Germany | Kassel | 2 | 1 | 2.6 | 0 | 0 |
325 | Germany | Konstanz | 2 | 1 | 1.1 | 0 | 0 |
325 | Germany | Leipzig | 2 | 1 | 2.1 | 0 | 0 |
325 | Germany | Ohningen | 2 | 1 | 2.1 | 0 | 0 |
325 | Germany | St Wendel | 2 | 1 | 1.8 | 0 | 0 |
325 | Germany | Straelen | 2 | 1 | 2 | 0 | 0 |
325 | Germany | Weinheim | 2 | 1 | 2.4 | 0 | 0 |
325 | Germany | Wurzburg | 2 | 1 | 1.2 | 0 | 0 |
325 | Guernsey | St. Peter Port | 2 | 1 | 2.3 | 0 | 0 |
325 | India | Aurangabad | 2 | 1 | 1.3 | 0 | 0 |
325 | India | Dehradun | 2 | 0 | 0 | 1 | 13.4 |
325 | India | Haridwar | 2 | 1 | 2.2 | 0 | 0 |
325 | India | Kanpur | 2 | 1 | 1.1 | 0 | 0 |
325 | India | Nagda | 2 | 0 | 0 | 1 | 4.4 |
325 | India | Thrissur | 2 | 1 | 1.2 | 0 | 0 |
325 | Indonesia | Kediri | 2 | 0 | 0 | 1 | 5.9 |
325 | Indonesia | Surabaya | 2 | 1 | 1.5 | 0 | 0 |
325 | Ireland | Kingscourt | 2 | 0 | 0 | 1 | 9.2 |
325 | Italy | Crocetta del Montello | 2 | 1 | 1.5 | 0 | 0 |
325 | Italy | Perugia | 2 | 1 | 1.6 | 0 | 0 |
325 | Italy | Reggio Emilia | 2 | 0 | 0 | 2 | 8.3 |
325 | Italy | Sant'' Elpidio A Mare | 2 | 1 | 1.2 | 0 | 0 |
325 | Japan | Hiroshima | 2 | 0 | 0 | 2 | 6.2 |
325 | Japan | Kawasakai | 2 | 0 | 0 | 1 | 9.3 |
325 | Japan | Nagano | 2 | 0 | 0 | 2 | 8.7 |
325 | Japan | Sendai | 2 | 0 | 0 | 2 | 4.7 |
325 | Japan | Takasaki | 2 | 0 | 0 | 2 | 5.5 |
325 | Jersey | St Helier | 2 | 1 | 1.1 | 0 | 0 |
325 | Jordan | Amman | 2 | 0 | 0 | 1 | 4.3 |
325 | Kazakhstan | Astana | 2 | 1 | 2.9 | 0 | 0 |
325 | Kenya | Nairobi | 2 | 0 | 0 | 1 | 10.6 |
325 | Malaysia | Sibu | 2 | 1 | 1 | 0 | 0 |
325 | Malaysia | Tawau | 2 | 1 | 2.1 | 0 | 0 |
325 | Nepal | Kathmandu | 2 | 1 | 1.5 | 0 | 0 |
325 | Netherlands | Alphen aan den Rijn | 2 | 0 | 0 | 1 | 19.6 |
325 | Netherlands | Gorinchem | 2 | 1 | 2.8 | 0 | 0 |
325 | Netherlands | Vorden | 2 | 1 | 2.6 | 0 | 0 |
325 | Norway | Bergen | 2 | 0 | 0 | 1 | 8.9 |
325 | Norway | Kverva | 2 | 1 | 3.4 | 0 | 0 |
325 | Poland | Krotoszyn | 2 | 1 | 3.4 | 0 | 0 |
325 | Poland | Plock | 2 | 0 | 0 | 1 | 6.4 |
325 | Poland | Poznan | 2 | 1 | 1.5 | 0 | 0 |
325 | Romania | Bucharest | 2 | 1 | 1.3 | 0 | 0 |
325 | Russia | Almetyevsk | 2 | 0 | 0 | 1 | 16.7 |
325 | Russia | Chelyabinsk | 2 | 1 | 2 | 0 | 0 |
325 | Russia | Cherepovets | 2 | 0 | 0 | 1 | 10 |
325 | Russia | Irkutsk | 2 | 1 | 2.1 | 0 | 0 |
325 | Russia | Lipetsk | 2 | 0 | 0 | 1 | 10.4 |
325 | Russia | Mirny | 2 | 0 | 0 | 1 | 6.2 |
325 | Russia | Murmansk | 2 | 1 | 1 | 0 | 0 |
325 | Russia | Rostov | 2 | 1 | 1.6 | 0 | 0 |
325 | Russia | Solikamsk | 2 | 1 | 1.4 | 0 | 0 |
325 | Slovakia | Bratislava | 2 | 2 | 2.7 | 0 | 0 |
325 | South Korea | Daejeon | 2 | 0 | 0 | 1 | 8.4 |
325 | South Korea | Pohang | 2 | 0 | 0 | 1 | 12.1 |
325 | Spain | Marbella | 2 | 1 | 2 | 0 | 0 |
325 | Spain | Palma de Majorca | 2 | 1 | 1.8 | 0 | 0 |
325 | Sweden | Båstad | 2 | 1 | 2.2 | 0 | 0 |
325 | Sweden | Helsingborg | 2 | 1 | 1.1 | 0 | 0 |
325 | Sweden | Lund | 2 | 0 | 0 | 1 | 7.9 |
325 | Sweden | Sundsvall | 2 | 0 | 0 | 1 | 7.6 |
325 | Switzerland | Biel | 2 | 0 | 0 | 1 | 10.3 |
325 | Switzerland | Burgdorf | 2 | 1 | 1.8 | 0 | 0 |
325 | Switzerland | Olten | 2 | 0 | 0 | 1 | 7.2 |
325 | Switzerland | Zug | 2 | 0 | 0 | 1 | 17.1 |
325 | Taiwan | Tainan | 2 | 0 | 0 | 1 | 13.3 |
325 | Taiwan | Tainan City | 2 | 1 | 1.7 | 0 | 0 |
325 | Taiwan | Yunlin | 2 | 1 | 1.9 | 0 | 0 |
325 | Tanzania | Dar es Salaam | 2 | 1 | 1.6 | 0 | 0 |
325 | Turks and Caicos Islands | Cockburn Town | 2 | 1 | 1.8 | 0 | 0 |
325 | Ukraine | Dnipro | 2 | 1 | 1.2 | 0 | 0 |
325 | Ukraine | Donetsk | 2 | 1 | 3 | 0 | 0 |
325 | United Kingdom | Aberdeen | 2 | 1 | 1.5 | 0 | 0 |
325 | United Kingdom | Aberdyfi | 2 | 1 | 1.8 | 0 | 0 |
325 | United Kingdom | Chester | 2 | 1 | 2.6 | 0 | 0 |
325 | United Kingdom | Cirencester | 2 | 0 | 0 | 1 | 5.7 |
325 | United Kingdom | Edinburgh | 2 | 0 | 0 | 1 | 16.8 |
325 | United Kingdom | Jersey | 2 | 0 | 0 | 1 | 5.5 |
325 | United Kingdom | Leeds | 2 | 0 | 0 | 1 | 5.5 |
325 | United Kingdom | Leicester | 2 | 0 | 0 | 1 | 7.6 |
325 | United Kingdom | Liverpool | 2 | 1 | 3.4 | 0 | 0 |
325 | United Kingdom | Nottingham | 2 | 1 | 1.8 | 0 | 0 |
325 | United Kingdom | Reading | 2 | 0 | 0 | 1 | 16.1 |
325 | United Kingdom | Warrington | 2 | 0 | 0 | 1 | 7.8 |
325 | United Kingdom | Wotton-under-Edge | 2 | 1 | 2 | 0 | 0 |
325 | United Kingdom | York | 2 | 0 | 0 | 1 | 8.9 |
325 | United States | Aspen | 2 | 1 | 1.2 | 0 | 0 |
325 | United States | Belgrade | 2 | 1 | 1.9 | 0 | 0 |
325 | United States | Benton Harbor | 2 | 0 | 0 | 1 | 7 |
325 | United States | Bozeman | 2 | 1 | 2.8 | 0 | 0 |
325 | United States | Brookville | 2 | 1 | 2.3 | 0 | 0 |
325 | United States | Brownsville | 2 | 1 | 2.2 | 0 | 0 |
325 | United States | Burlington | 2 | 0 | 0 | 1 | 16 |
325 | United States | Calhoun | 2 | 0 | 0 | 1 | 6.2 |
325 | United States | Charleston | 2 | 1 | 1.9 | 0 | 0 |
325 | United States | Cisco | 2 | 2 | 2.3 | 0 | 0 |
325 | United States | Corning | 2 | 0 | 0 | 1 | 16.7 |
325 | United States | Daytonaeach | 2 | 0 | 0 | 1 | 10.2 |
325 | United States | El Dorado | 2 | 0 | 0 | 2 | 4.9 |
325 | United States | El Paso | 2 | 1 | 1.5 | 0 | 0 |
325 | United States | Fort Wayne | 2 | 0 | 0 | 1 | 5.2 |
325 | United States | Kearney | 2 | 1 | 1 | 0 | 0 |
325 | United States | Kingsport | 2 | 0 | 0 | 1 | 8.2 |
325 | United States | Lewisburg | 2 | 1 | 1.2 | 0 | 0 |
325 | United States | Lexington | 2 | 1 | 2.9 | 0 | 0 |
325 | United States | Little Jackson Hole | 2 | 1 | 2.9 | 0 | 0 |
325 | United States | Little Rock | 2 | 1 | 2.6 | 0 | 0 |
325 | United States | Mankato | 2 | 1 | 2.5 | 0 | 0 |
325 | United States | Monroe | 2 | 0 | 0 | 1 | 11.7 |
325 | United States | Orlando | 2 | 0 | 0 | 1 | 9.6 |
325 | United States | Pittsburg | 2 | 2 | 2.5 | 0 | 0 |
325 | United States | Pottsville | 2 | 1 | 1.5 | 0 | 0 |
325 | United States | Redding | 2 | 1 | 3.2 | 0 | 0 |
325 | United States | Roanoke | 2 | 0 | 0 | 1 | 8.4 |
325 | United States | Springdale | 2 | 1 | 2.1 | 0 | 0 |
325 | United States | Temple | 2 | 1 | 3 | 0 | 0 |
325 | United States | Youngstown | 2 | 1 | 3.2 | 0 | 0 |
488 | Australia | Bendigo | 1 | 0 | 0 | 1 | 2.3 |
488 | Austria | Linz | 1 | 0 | 0 | 1 | 3.7 |
488 | Brazil | Camaçari | 1 | 0 | 0 | 1 | 3.1 |
488 | Canada | Quebec | 1 | 0 | 0 | 1 | 3.5 |
488 | China | Guixi | 1 | 0 | 0 | 1 | 3.4 |
488 | Denmark | Silkeborg | 1 | 0 | 0 | 1 | 2 |
488 | France | Quimper | 1 | 0 | 0 | 1 | 2.7 |
488 | Germany | Lübeck | 1 | 0 | 0 | 1 | 3.1 |
488 | Italy | Siena | 1 | 0 | 0 | 1 | 1.3 |
488 | Italy | Sondrio | 1 | 0 | 0 | 1 | 0 |
488 | Italy | Verona | 1 | 0 | 0 | 1 | 0 |
488 | Japan | Aki | 1 | 0 | 0 | 1 | 3.6 |
488 | Japan | Fukushima | 1 | 0 | 0 | 1 | 0 |
488 | Japan | Kanazawa | 1 | 0 | 0 | 1 | 0 |
488 | Japan | Kumamoto | 1 | 0 | 0 | 1 | 1.9 |
488 | Japan | Matsue | 1 | 0 | 0 | 1 | 0 |
488 | Japan | Matsuyama | 1 | 0 | 0 | 1 | 1.7 |
488 | Japan | Nagaoka | 1 | 0 | 0 | 1 | 1 |
488 | Japan | Okayama | 1 | 0 | 0 | 1 | 1.8 |
488 | Japan | Shimonoseki | 1 | 0 | 0 | 1 | 1.4 |
488 | Japan | Shizuoka | 1 | 0 | 0 | 1 | 3.5 |
488 | Japan | Takamatsu | 1 | 0 | 0 | 1 | 0 |
488 | Japan | Toyama | 1 | 0 | 0 | 1 | 1.1 |
488 | Netherlands | Utrecht | 1 | 0 | 0 | 1 | 3.8 |
488 | Puerto Rico | San Juan | 1 | 0 | 0 | 1 | 3.4 |
488 | South Korea | Busan | 1 | 0 | 0 | 2 | 1.4 |
488 | South Korea | Jeonju | 1 | 0 | 0 | 1 | 0 |
488 | South Korea | Ulsan | 1 | 0 | 0 | 1 | 2.9 |
488 | Spain | Malaga | 1 | 0 | 0 | 1 | 0 |
488 | Spain | Seville | 1 | 0 | 0 | 1 | 0 |
488 | United Kingdom | Glasgow | 1 | 0 | 0 | 1 | 1.4 |
488 | United States | Evansville | 1 | 0 | 0 | 1 | 3.3 |
The data was collected in December 2020. All financial data is expressed in USD.
Cities have been grouped into their largest denominations (economic areas or metropolitan areas) based on government definitions.
Billionaire data is from the Forbes Billionaire List. Missing data regarding the city of residence of billionaires were researched separately.
Source: Forbes Billionaires List
Global 2000 Public Companies data was taken from Forbes. Missing data regarding the location of headquarters were researched separately.
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