List of country subdivisions by GDP over 200 billion USD Information

From Wikipedia
https://en.wikipedia.org/wiki/List_of_country_subdivisions_by_GDP_over_100_billion_US_dollars

Table of Contents ⇨

This is a list of first-level country subdivisions which have a nominal gross state product in excess of $200 billion. There are 100 subdivisions that have more than $200 billion GDP. Those subdivisions which are the largest in their respective countries are shown in bold.

Note: the use of nominal GDP and currency conversion in this list makes inter-area comparison difficult

List

Rank Subdivision Country Continent Nominal
GDP

(billions
USD)
Year Population
(millions)
Nominal
GDP per
Capita

(thousands
USD)
Largest
city
1   California   United States North America 3,020 2018 [1] 39.6 76 Los Angeles
2 Kanto region   Japan Asia 2,500 2014 [2] 43.3 60 Tokyo
3   England   United Kingdom Europe 2,080 2017 [3] 55.6 37 London
4   Texas   United States North America 1,819 2018 [1] 28.3 64 Houston
5   New York   United States North America 1,701 2018 [1] 19.5 87 New York City
6 Guangdong   China Asia 1,470 2018 [4] 110.8 13 Guangzhou
7 Jiangsu   China Asia 1,399 2018 [4] 80.1 17 Nanjing
8 Shandong   China Asia 1,156 2018 [4] 99.8 11 Qingdao
9   Florida   United States North America 1,059 2018 [1] 20.6 50 Miami
10 Kansai region   Japan Asia 937 2012 [5] 22.8 42 Osaka
11 Chūbu region   Japan Asia 918 2012 [5] 21.7 44 Nagoya
12   Illinois   United States North America 880 2018 [6] 12.7 70 Chicago
13 Zhejiang   China Asia 849 2018 [4] 56.2 15 Hangzhou
14   Pennsylvania   United States North America 803 2018 [7] 12.8 63 Philadelphia
15   Île-de-France   France Europe 801 2017 [8] 12.2 66 Paris
16   North Rhine-Westphalia   Germany Europe 795 2016 [9] 17.9 42 Cologne
17 Henan   China Asia 726 2018 [4] 95.5 8 Zhengzhou
18 Seoul Capital Area   South Korea Asia 684 2016 [10] 25.5 27 Seoul
19   Bavaria   Germany Europe 677 2016 [9] 12.8 50 Munich
20   Ohio   United States North America 649 2017 [7] 11.6 56 Columbus, Ohio
21   Ontario   Canada North America 632 2016 [11] 14.1 45 Toronto
22 Sichuan   China Asia 615 2018 [4] 82.8 7 Chengdu
23   São Paulo   Brazil South America 608 2018 [12] 44.0 14 São Paulo
24 Hubei   China Asia 595 2018 [4] 58.2 10 Wuhan
25   New Jersey   United States North America 589 2016 [7] 8.9 68 Newark
26 Kyushu region   Japan Asia 572 2012 [5] 13.0 45 Fukuoka
27   Baden-Württemberg   Germany Europe 568 2016 [9] 10.9 49 Stuttgart
28 Hunan   China Asia 550 2018 [4] 68.4 8 Changsha
29 Hebei   China Asia 544 2018 [4] 73.3 7 Shijiazhuang
30 Fujian   China Asia 541 2018 [4] 38.9 13 Fuzhou
31   Georgia (U.S. state)   United States North America 533 2016 [7] 10.3 49 Atlanta
32   North Carolina   United States North America 527 2016 [7] 10.1 50 Charlotte
33   Massachusetts   United States North America 516 2016 [7] 6.8 76 Boston
34   Michigan   United States North America 505 2017 [7] 10.0 50 Detroit
35   Virginia   United States North America 501 2016 [7] 8.4 56 Virginia Beach
36 Shanghai   China Asia 494 2018 [4] 24.2 20 Shanghai
37   Washington   United States North America 477 2016 [7] 7.3 62 Seattle
38   New South Wales   Australia Australia 462 2017 [13] 8.0 61 Sydney
39 Beijing   China Asia 458 2018 [4] 21.5 21 Beijing
40 Anhui   China Asia 453 2018 [4] 62.3 7 Hefei
41 Eastern Province   Saudi Arabia Asia 447 2013 [14] 8.4 53 Dammam
42 Maharashtra   India Asia 440 2017 [15] 112.4 4 Mumbai
43   Lombardy   Italy Europe 439 2014 [16] 10.0 47 Milan
44   Maryland   United States North America 414 2018 [7] 6.0 69 Baltimore
45 Liaoning   China Asia 383 2018 [4] 43.7 9 Shenyang
46 Shaanxi   China Asia 369 2018 [4] 38.3 10 Xi'an
47   Hong Kong   China Asia 363 2018 [17] 7.5 49 Hong Kong
48   Victoria   Australia Australia 353 2017 [13] 6.2 60 Melbourne
49   Indiana   United States North America 347 2016 [7] 6.6 50 Indianapolis
50   Minnesota   United States North America 341 2016 [7] 5.5 60 Minneapolis
51   Tennessee   United States North America 334 2016 [7] 6.7 47 Memphis
52 Chugoku Region   Japan Asia 333 2012 [18] 7.6 46 Hiroshima
53 Jiangxi   China Asia 332 2018 [4] 46.1 7 Nanchang
54   Colorado   United States North America 330 2016 [7] 5.5 58 Denver
55   Hesse   Germany Europe 325 2015 [9] 6.2 48 Frankfurt
56   Lower Saxony   Germany Europe 319 2015 [9] 7.8 37 Hanover
57   Wisconsin   United States North America 314 2016 [7] 5.8 50 Milwaukee
58   Quebec   Canada North America 313 2016 [19] 8.2 37 Montreal
59   Arizona   United States North America 309 2016 [7] 6.9 43 Phoenix
60   Rio de Janeiro   Brazil South America 308 2017 [20] 16.7 18 Rio de Janeiro
60 Chongqing   China Asia 308 2018 [4] 30.6 10 Chongqing
60 Guangxi   China Asia 308 2018 [4] 48.6 6 Nanning
63   Missouri   United States North America 305 2017 [7] 6.1 50 Kansas City
64   Queensland   Australia Australia 300 2017 [13] 5.0 66 Brisbane
65 Southern and Eastern   Ireland Europe 296 2015 [8] 3.4 87 Dublin
65   Flemish Region   Belgium Europe 296 2011 [21] 6.4 46 Antwerp
67 Tianjin   China Asia 284 2018 [4] 15.6 18 Tianjin
68   Buenos Aires Province   Argentina South America 281 2017 16.7 17 La Plata
69   Minas Gerais   Brazil South America 280 2015 [22] 21.1 13 Belo Horizonte
70   Moscow   Russia Europe 270 2017 [23] 12.6 21 Moscow
70 Yunnan   China Asia 270 2018 [4] 47.9 6 Kunming
72   Connecticut   United States North America 267 2016 [7] 3.6 71 Bridgeport
73 Istanbul   Turkey Asia 265 2017 [24] 15.1 18 Istanbul
74   Taipei   Taiwan Asia 264 2016 [25] 8.5 31 Taipei
75   Auvergne-Rhône-Alpes   France Europe 263 2014 [26] 7.7 35 Lyon
76 Inner Mongolia   China Asia 261 2018 [4] 25.2 10 Baotou
77 Riyadh Region   Saudi Arabia Asia 260 2014 8.0 32 Riyadh
78 Shanxi   China Asia 254 2018 [4] 36.9 7 Taiyuan
79 Tamil Nadu   India Asia 251 2018 [27] 72.2 4 Chennai
80   Madrid   Spain Europe 250 2017 [28] 6.5 38 Madrid
80   Catalonia   Spain Europe 250 2017 [29] 7.5 34 Barcelona
82   Alberta   Canada North America 250 2016 [19] 3.6 64 Calgary
83 Heilongjiang   China Asia 247 2017 [4] 37.9 7 Harbin
84   Louisiana   United States North America 238 2016 [7] 4.7 56 New Orleans
85 Gujarat   India Asia 235 2018 [30] 60.4 4 Ahmedabad
86 Uttar Pradesh   India Asia 230 2018 [31] 199.6 1 Lucknow
86   Oregon   United States North America 230 2016 [7] 4.1 56 Portland
88 Jilin   China Asia 228 2018 [4] 27.3 8 Changchun
89 Guizhou   China Asia 224 2018 [4] 35.7 6 Guiyang
90 Karnataka   India Asia 235 2019 61.9 3 Bangalore
91   Hokkaido   Japan Asia 218 2012 [18] [32] 5.5 42 Sapporo
92   Abu Dhabi   United Arab Emirates Asia 215 2014 [33] 2.7 80 Abu Dhabi
93   Western Australia   Australia Australia 214 2017 [13] 2.7 79 Perth
93   South Carolina   United States North America 213 2016 [7] 5.0 40 Greenville
94   British Columbia   Canada North America 210 2016 [19] 4.4 50 Vancouver
95   Alabama   United States North America 208 2016 [7] 4.9 43 Birmingham
96   Rio Grande do Sul   Brazil South America 205 2015 [34] 11.3 18 Porto Alegre
97   Paraná   Brazil South America 203 2015 [34] 11.3 18 Curitiba
98   Kentucky   United States North America 202 2016 [7] 4.4 42 Louisville
99   North Holland   Netherlands Europe 200 2017 [35] 2.8 70 Amsterdam
100   Lazio   Italy Europe 200 2015 [36] 5.9 34 Rome

Notes

  • Average annual exchange rates of currency: Average exchange rates are estimated according to comparison of UN historical GDP of countries in national currencies and US$ if no reliable figures.
  • The figures of US states are from United States BEA GDP data by State, the latest primary figures of US states GSP from US Government Revenue
  • For the year 2012, an exchange rate of US$1=RMB¥6.3125 was used for conversions by the Mainland China in official estimates.
  • The figures of Japanese prefectures are estimates. according to the preliminary accounting of the Ministry of Internal Affairs and Communications, Japan's GDP is JP¥ 475.5 trillion or US$5.96 trillion (US$1 in JP¥ 80). the figure of Japanese prefectures in 2012 is estimated, according to their share of Japan's GDP in 2010. it is just used as a comparison with subdivisions of other countries, the estimates of GDP will be lower than official figures in future.
  • The figures of Chilean regions are calculated with the average 667,17 CLP=1US$ of December 2016, according to the National Tax Service.
  • PIB do Paranل cresce 4% em 2011 [34]
    • In 2012, US$1=£0.6309 (average)
    • In 2013, US$1=JP¥97.71 (average)
    • In 2012, US$1=€0.7783 (average)
    • In 2011, US$1=R$1.869 (in Dec 31st)

See also

References

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