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This is a list of first-level country subdivisions which have a nominal gross state product in excess of $100 billion. 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[edit]

Subdivision Country Continent Nominal GDP(billions USD) Year Population (millions) Nominal GDP per Capita (thousands USD) Largest city
California California  United States North America 2,751 2017[1] 39.6 70 Los Angeles
Kanto region  Japan Asia 2,500 2014[2] 43.3 60 Tokyo
England England  United Kingdom Europe 2,007 2016[3] 55.3 37 London
Texas Texas  United States North America 1,653 2016[1] 27.9 58 Houston
New York (state) New York  United States North America 1,534 2017[4] 20.0 75 New York City
Guangdong  China Asia 1,331 2017[5] 110.84 12 Guangzhou
Jiangsu  China Asia 1,272 2017[5] 80.14 16 Nanjing
São Paulo (state) São Paulo  Brazil South America 1,119 2017[6] 45.0 25 São Paulo
Shandong  China Asia 1,076 2017[5] 99.76 11 Qingdao
Kansai region  Japan Asia 937 2012[7] 22.8 42 Osaka
Florida Florida  United States North America 947 2016[1] 20.6 46 Miami
Chūbu region  Japan Asia 918 2012[7] 21.7 44 Nagoya
Île-de-France Île-de-France  France Europe 850 2016[8] 12.1 70 Paris
Illinois Illinois  United States North America 799 2016[1] 12.8 63 Chicago
North Rhine-Westphalia North Rhine-Westphalia  Germany Europe 795 2016[9] 17.9 42 Düsseldorf
Pennsylvania Pennsylvania  United States North America 740 2016[10] 12.8 57 Philadelphia
Zhejiang  China Asia 767 2017[5] 56.24 14 Hangzhou
Capital Region  South Korea Asia 684 2016[11] 25.5 27 Seoul
Bavaria Bavaria  Germany Europe 677 2016[9] 12.8 50 Munich
Ohio Ohio  United States North America 638 2016[10] 11.6 51 Cleveland
Ontario Ontario  Canada North America 632 2016[12] 14.1 45 Toronto
Henan  China Asia 666 2017[5] 95.46 7 Zhengzhou
New Jersey New Jersey  United States North America 589 2016[10] 8.9 68 Newark
Kyushu region  Japan Asia 572 2012[7] 13.0 45 Fukuoka
Baden-Württemberg Baden-Württemberg  Germany Europe 568 2016[9] 10.9 49 Stuttgart
Georgia (U.S. state) Georgia  United States North America 533 2016[10] 10.3 49 Atlanta
North Carolina North Carolina  United States North America 527 2016[10] 10.1 50 Charlotte
Massachusetts Massachusetts  United States North America 516 2016[10] 6.8 77 Boston
Virginia Virginia  United States North America 501 2016[10] 8.4 56 Virginia Beach
Michigan Michigan  United States North America 495 2016[10] 9.9 47 Detroit
Hubei  China Asia 541 2017[5] 58.2 9 Wuhan
Hebei  China Asia 533 2017[5] 73.3 7 Shijiazhuang
Washington (state) Washington  United States North America 477 2016[10] 7.3 62 Seattle
Sichuan  China Asia 548 2017[5] 82.82 7 Chengdu
Hunan  China Asia 512 2017[5] 68.41 7 Changsha
New South Wales New South Wales  Australia Australia 462 2017[13] 8.0 61 Sydney
Eastern Province  Saudi Arabia Asia 447 2013[14] 8.4 53 Dammam
Maharashtra  India Asia 440 2017[15] 112.4 4 Mumbai
Lombardy Lombardy  Italy Europe 439 2014[16] 10.0 47 Milan
Fujian  China Asia 478 2017[5] 38.93 12 Fuzhou
Shanghai  China Asia 446 2017[5] 24.19 18 Shanghai
Maryland Maryland  United States North America 384 2016[10] 6.0 60 Baltimore
Beijing  China Asia 415 2017[5] 21.72 19 Beijing
Anhui  China Asia 408 2017[5] 62.25 7 Hefei
Victoria (Australia) Victoria  Australia Australia 353 2017[13] 6.2 60 Melbourne
Indiana Indiana  United States North America 347 2016[10] 6.6 50 Indianapolis
Minnesota Minnesota  United States North America 341 2016[10] 5.5 60 Minneapolis
Tennessee Tennessee  United States North America 334 2016[10] 6.7 47 Memphis
Chugoku Region  Japan Asia 333 2012[17] 7.6 46 Hiroshima
Liaoning  China Asia 355 2017[5] 43.73 8 Shenyang
Colorado Colorado  United States North America 330 2016[10] 5.5 58 Denver
Hong Kong Hong Kong  China Asia 342 2017[18] 7.41 46 Hong Kong
Hesse Hesse  Germany Europe 325 2015[9] 6.2 48 Frankfurt
Lower Saxony Lower Saxony  Germany Europe 319 2015[9] 7.8 37 Hanover
Moscow Moscow capital region  Russia Europe 314 2016[19][20] 19.4 16 Moscow
Wisconsin Wisconsin  United States North America 314 2016[10] 5.8 50 Milwaukee
Quebec Quebec  Canada North America 313 2016[21] 8.2 37 Montreal
Arizona Arizona  United States North America 309 2016[10] 6.9 43 Phoenix
Rio de Janeiro (state) Rio de Janeiro  Brazil South America 308 2017[22] 16.7 18 Rio de Janeiro
Missouri Missouri  United States North America 304 2016[10] 6.1 47 Kansas City
Queensland Queensland  Australia Australia 300 2017[13] 5.0 66 Brisbane
Southern and Eastern  Ireland Europe 296 2015[23] 3.4 85 Dublin
Flemish Region Flanders  Belgium Europe 296 2011[24] 6.4 46 Antwerp
Inner Mongolia  China Asia 239 2017[5] 25.24 9 Baotou
Shaanxi  China Asia 324 2017[5] 38.24 8 Xi'an
Buenos Aires Province Buenos Aires Province  Argentina South America 281 2017 16.7 17 La Plata
Minas Gerais Minas Gerais  Brazil South America 280 2015[25] 21.1 13 Belo Horizonte
Istanbul Turkey Turkey Asia 270 2014[26] 14.3 19 Istanbul
Connecticut Connecticut  United States North America 267 2016[10] 3.6 71 Bridgeport
Chongqing  China Asia 289 2017[5] 30.62 9 Chongqing
Taipei Taipei  Taiwan Asia 264 2016[27] 8.5 31 Taipei
Rhône-Alpes Rhône-Alpes  France Europe 263 2014[28] 6.5 35 Lyon
Riyadh Region  Saudi Arabia Asia 260 2014 8.0 32 Riyadh
Tianjin  China Asia 275 2017[5] 15.59 18 Tianjin
Jiangxi  China Asia 308 2017[5] 46.07 7 Nanchang
Guangxi  China Asia 302 2017[5] 48.62 5 Nanning
Catalonia Catalonia Spain Spain Europe 251 2012[29] 7.6 34 Barcelona
Tamil Nadu  India Asia 251 2018[30] 72.2 4 Chennai
Alberta Alberta  Canada North America 250 2016[21] 3.6 64 Calgary
Community of Madrid Madrid  Spain Europe 249 2014[29] 6.5 41 Madrid
Heilongjiang  China Asia 240 2017[5] 37.94 6 Harbin
Scotland Scotland  United Kingdom Europe 242 2015[31][32] 5.4 45 Glasgow
Louisiana Louisiana  United States North America 238 2016[10] 4.7 56 New Orleans
Gujarat  India Asia 235 2018[33] 60.4 4 Ahmedabad
Uttar Pradesh  India Asia 230 2018[34] 199.6 1 lucknow
Oregon Oregon  United States North America 230 2016[10] 4.1 56 Portland
Jilin  China Asia 226 2017[5] 27.25 8 Changchun
Hokkaido Hokkaido  Japan Asia 218 2012[17][35] 5.5 42 Sapporo
Emirate of Abu Dhabi Emirate of Abu Dhabi  United Arab Emirates Asia 215 2014[36] 2.7 94 Abu Dhabi
Western Australia Western Australia  Australia Australia 214 2017[13] 2.7 82 Perth
South Carolina South Carolina  United States North America 213 2016[10] 5.0 40 Greenville
British Columbia British Columbia  Canada North America 210 2016[21] 4.4 50 Vancouver
Yunnan  China Asia 245 2017[5] 47.85 5 Kunming
Alabama Alabama  United States North America 208 2016[10] 4.9 43 Birmingham
Shanxi  China Asia 222 2017[5] 36.92 6 Taiyuan
Rio Grande do Sul Rio Grande do Sul  Brazil South America 205 2015[37] 11.3 18 Porto Alegre
Paraná (state) Paraná Brazil Brazil South America 203 2015[37] 11.3 18 Curitiba
Kentucky Kentucky  United States North America 202 2016[10] 4.4 42 Louisville
Lazio Lazio  Italy Europe 200 2015[38] 5.9 34 Rome
Karnataka  India Asia 220 2017[39] 61.9 3 Bangalore
Provence-Alpes-Côte d'Azur Provence-Alpes-Côte d'Azur  France Europe 188 2011[40] 4.9 41 Marseille
Veneto Veneto  Italy Europe 186 2011[16] 4.9 43 Venice
Oklahoma Oklahoma  United States North America 186 2016[10] 3.9 45 Oklahoma City
Emilia-Romagna Emilia-Romagna  Italy Europe 184 2011[16] 4.4 45 Bologna
Stockholm län vapen b.svg Stockholm County  Sweden Europe 181 2016[41] 2.2 85 Stockholm
Iowa Iowa  United States North America 181 2016[10] 3.1 56 Des Moines, Iowa
Punjab, Pakistan Punjab  Pakistan Asia 180 2016[42] 101.1 2 Lahore
Andalusia Andalusia  Spain Europe 177 2012[29] 8.4 22 Seville
North Holland North Holland  Netherlands Europe 176 2015[43] 2.8 60 Amsterdam
Busan  South Korea Asia 175 2015[11] 3.5 38 Busan
South HollandSouth Holland  Netherlands Europe 174 2015[43] 3.6 44 Rotterdam
Eastern Norway  Norway Europe 172 2013 2.5 70 Oslo
Delhi  India Asia 167 2014[44] 16.8 10 Delhi
West Bengal  India Asia 165 2017[45] 91.5 2 Kolkata
Mexico City Mexico City  Mexico North America 164 2011[46] 8.9 18 Mexico City
Rhineland-Palatinate Rhineland-Palatinate  Germany Europe 163 2015[9] 4.0 36 Mainz
Utah Utah  United States North America 160 2016[10] 3.1 49 Salt Lake City
Piedmont Piedmont  Italy Europe 157 2011[16] 4.6 39 Turin
Kansas Kansas  United States North America 155 2016[10] 2.9 51 Wichita, Kansas
Berlin Berlin  Germany Europe 153 2015[47] 3.5 42 Berlin
Nevada Nevada  United States North America 151 2016[10] 2.9 52 Las Vegas
Xinjiang  China Asia 162 2017[5] 24.21 7 Ürümqi
Guizhou  China Asia 201 2017[5] 35.68 6 guiyang
Wappen Zürich matt.svg Canton of Zurich   Switzerland Europe 147 2015[48] 1.5 100 Zürich
Jakarta Jakarta  Indonesia Asia 143 2015 12.3 14 Jakarta
Saxony Saxony  Germany Europe 139 2015[9] 4.0 31 Dresden
Lagos State Lagos State  Nigeria Africa 137 2015[49] 17.5 8 Lagos
Tehran  Iran Asia 137 2011 12.2 11 Tehran
Andhra Pradesh  India Asia 136 2018[50] 49 3 Visakhapatnam
Tuscany Tuscany  Italy Europe 136 2011[16] 3.7 41 Florence
Hamburg Hamburg  Germany Europe 135 2015[9] 1.8 70 Hamburg
Flag of the Capital Region of Denmark.svg Capital Region of Denmark  Denmark Europe 135 2015[51] 1.8 77 Copenhagen
Pays de la Loire Pays de la Loire  France Europe 134 2011[40] 3.6 38 Nantes
Nord-Pas-de-Calais Nord-Pas de Calais  France Europe 134 2011[40] 4.1 34 Lille
Santa Catarina (state) Santa Catarina Brazil Brazil South America 133 2015[37] 7.0 19 Florianopolis
Tel Aviv Tel Aviv District  Israel Asia 132 2012[52] 3.5 38 Tel Aviv
Washington, D.C. District of Columbia  United States North America 131 2017[53] 0.7 186 Washington, D.C.
Bahia Bahia Brazil Brazil South America 131 2015[37] 15.3 9 Salvador
Madhya Pradesh  India Asia 130 2018[54] 72 2 Bhopal
North Brabant North Brabant  Netherlands Europe 126 2011[55] 2.5 48 Eindhoven
Valencian Community Valencia  Spain Europe 125 2012[29] 5.1 25 Valencia
Campania Campania  Italy Europe 124 2014[16] 5.9 22 Naples
Arkansas Arkansas  United States North America 121 2016[10] 3.0 42 Little Rock
Kerala  India Asia 120 2018[56] 38 3 Thiruvananthapuram
Aquitaine Aquitaine  France Europe 119 2011[40] 3.4 36 Bordeaux
Wallonia Wallonia  Belgium Europe 117 2011[24] 3.6 34 Charleroi
Nebraska Nebraska  United States North America 117 2016[10] 1.9 61 Omaha
Federal District (Brazil) Federal District Brazil Brazil South America 116 2015[37] 3.0 40 Brasilia
Rajasthan  India Asia 115 2016[57] 73.5 1 Jaipur
Telangana  India Asia 115 2017[58] 35 3 Hyderabad
Masovian Voivodeship Masovian Voivodeship  Poland Europe 115 2016[59] 5.2 22 Warsaw
Brittany Brittany  France Europe 113 2011[40] 3.3 34 Rennes
Gansu  China Asia 114 2017[5] 26.18 4 Lanzhou
Midi-Pyrénées Midi-Pyrénées  France Europe 109 2011[40] 2.9 37 Toulouse
Sicily Sicily  Italy Europe 109 2016[60] 5.0 22 Palermo
Mississippi Mississippi  United States North America 108 2016[10] 3.0 36 Jackson
Haryana  India Asia 107 2018[61] 25.3 4 Chandigarh
Uusimaa  Finland Europe 106 2016[62] 1.6 65 Helsinki
Schleswig-Holstein Schleswig-Holstein  Germany Europe 106 2015[9] 2.8 43 Kiel
Dubai Emirate of Dubai  United Arab Emirates Asia 105 2015[63] 2.7 44 Dubai
Tyumen Oblast Tyumen Oblast(Khanty–Mansi and Yamalo-Nenets Autonomous regions included)  Russia Asia 104 2016[64] 5.8 18 Tyumen
Santiago Metropolitan RegionMetropolitan Region  Chile South America 102 2015[65] 7.3 14 Santiago
Bangkok Bangkok  Thailand Asia 100 2015 8.3 12 Bangkok
Bihar  India Asia 100 2017[66] 94 1 Patna

See also[edit]

References[edit]

  • 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¥ 475,528.9 billions or US$5,959.77 billions (US$1 in JP¥ 79.79). the figure of Janese prefectures in 2012 is estimated, according to their share of Japan's GDP in 2010. it is just used as a comparison with subdivisions of other countries, the estimates of GDP will be lower than official figures in future.
  • PIB do Paraná cresce 4% em 2011[37]
    • In 2012, US$ 1=£0.6309(average).
    • In 2013, US$ 1=JP¥ 97.71(average).
    • In 2012, US$ 1=€0.7783(average).
    • In 2011, US$ 1=R$1.869(in Dec 31st).
Specific
  1. ^ a b c d "Gross Domestic Product by State" (PDF). US Bureau of Economic Analysis. 
  2. ^ "Tokyo Statistical Yearbook". Toukei.metro.tokyo.jp. Retrieved 2017-03-30. 
  3. ^ "Gross Domestic Product, preliminary estimate - Office for National Statistics". Ons.gov.uk. Retrieved 2017-03-30. 
  4. ^ https://bea.gov/newsreleases/regional/gdp_state/2017/pdf/qgsp1117.pdf
  5. ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa GDP-2017 by Chinese province is quarterly data (China NBS Data - Regional - Annual by provinces - National Accounts). the average exchange rate is CNY 6.7518 per US dollar (see Statistical Communiqué of P.R. China on the 2017 National Economic and Social Development)
  6. ^ "PIB TRIMESTRAL DO ESTADO DE SÃO PAULO" (PDF). Seade. Sao Paulo Government. Retrieved 18 March 2018. 
  7. ^ a b c "International comparison of GDP of Japan's Prefectures: Tokyo's GDP is bigger than Indonesia's?! - Blog". Resources.realestate.co.jp. Retrieved 2017-03-30. 
  8. ^ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a
  9. ^ a b c d e f g h i "Germany GDP-2012 and 2013 figures". Statistik-portal.de. Archived from the original on 2011-05-24. Retrieved 2017-03-30. Germany Federal Statistical Office; National accounts – Gross domestic product; Annual average exchange rate is US$ 1.11 to EUR€ 1 in 2015 
  10. ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab ac ad ae "US State GDP 2016" (PDF). 
  11. ^ a b "지표상세". Index.go.kr. 2017-01-12. Retrieved 2017-03-30. 
  12. ^ "Ontario Economic Update". Fin.gov.on.ca. 2017-03-24. Retrieved 2017-03-30. 
  13. ^ a b c d Statistics, c=AU; o=Commonwealth of Australia; ou=Australian Bureau of. "Main Features - Main Features". www.abs.gov.au. 
  14. ^ "Eastern Region". Almarina.net. Retrieved 2017-03-30. 
  15. ^ "Maharashtra Budget Analysis 2018-19" (PDF). PRS Legislative Research. 
  16. ^ a b c d e f OECD (2015-03-17). "Istat Statistics". Dati.istat.it. Retrieved 2017-03-30. 
  17. ^ a b "Archived copy" (PDF). Archived from the original (PDF) on 2013-09-13. Retrieved 2013-09-13. 
  18. ^ all the gdp data for Hong Kong is based on IMF WEO (World Economic Outlook Database) April 2018.
  19. ^ "Валовой региональный продукт::Мордовиястат". Mrd.gks.ru. Retrieved 2017-03-30. 
  20. ^ "Yearly Average Exchange Rates for Currencies - 1990 to 2016". Canadianforex.ca. Retrieved 2017-03-30. 
  21. ^ a b c "CANSIM - 384-0038 - Gross domestic product, expenditure-based, provincial and territorial". Statcan.gc.ca. Retrieved 2017-03-30. 
  22. ^ "Produto Interno Bruto do Estado do Rio de Janeiro". Retrieved 22 April 2018. 
  23. ^ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a
  24. ^ a b BelgoStat-Gross domestic product, at current prices - Absolute figures 
  25. ^ "Instituto Brasileiro de Geografia e Estatística". IBGE. Retrieved 2017-03-30. 
  26. ^ "Gross Domestic Product by Provinces". Turkstat. Retrieved 2017-03-30. 
  27. ^ All the figures are Preliminary Estimations from National Data - Regional - Quarterly by Province (China NBS); the average annual exchange rate is CN¥6.1428 per US dollar in 2014.
  28. ^ "Archived copy". Archived from the original on 2016-02-29. Retrieved 2016-02-28. 
  29. ^ a b c d National Statistics Office (Spain's GDP and GRP), National Statistics Office. GDP Figures of Spanish autonomous communities and provinces 2008–2012.
  30. ^ "State Domestic Product as of 31 March 2019" (PDF). Ministry of Statistics and Program Implementation, Government Of India. Retrieved 21 May 2017. 
  31. ^ "Quarterly National Accounts Scotland" (PDF). Gov.scot. Retrieved 2017-03-30. 
  32. ^ https://en.wikipedia.orgScotland
  33. ^ "Gujarat State Budget" (PDF). 
  34. ^ "Uttar Pradesh State Budget" (PDF). 
  35. ^ "Archived copy" (PDF). Archived from the original (PDF) on 2013-08-10. Retrieved 2013-06-10. 
  36. ^ "Abu Dhabi Emirate: Facts and Figures". Abudhabi.ae. 2017-03-15. Retrieved 2017-03-30. 
  37. ^ a b c d e f "Contas Regionais 2015: queda no PIB atinge todas as unidades da federação pela primeira vez na série". IBGE. 2015-11-16. Retrieved 2017-11-20. 
  38. ^ http://ec.europa.eu/eurostat/documents/2995521/7962764/1-30032017-AP-EN.pdf/4e9c09e5-c743-41a5-afc8-eb4aa89913f6
  39. ^ "Karnataka State Budget" (PDF). 
  40. ^ a b c d e f "Produits Intérieurs Bruts Régionaux (PIBR) en valeur en millions d'euros" (XLS) (in French). INSEE. Retrieved 2013-08-02. 
  41. ^ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a
  42. ^ Burki, Shahid Javed (5 January 2010). "Economics and extremism". Dawn. Retrieved 22 October 2015. 
  43. ^ a b "Regional key figures; national accounts". Statline.cbs.nl. Retrieved 2017-03-30. 
  44. ^ "STATE WISE DATA" (PDF). Economic Statistical Organisation Punjab. Central Statistical Organisation, New Delhi. Archived from the original (PDF) on 10 March 2017. Retrieved 17 February 2017. 
  45. ^ "WB 2018 GDP" (PDF). PRS Legislative Research. Retrieved 2018-03-02. 
  46. ^ "Distrito Federal". Banco de Información Económica (in Spanish). Retrieved 5 August 2013.  2,291,440,935,000 Pesos converted as of 31 December 2011. Exchange rate from: "Mexican Peso exchange rates for December 31, 2011 against currencies in North and South America". Exchange-Rates.org. Retrieved 5 August 2013. 
  47. ^ Baden-Württemberg, Statistisches Landesamt. "Bruttoinlandsprodukt – in jeweiligen Preisen – in Deutschland 1991 bis 2016 nach Bundesländern (WZ 2008) – VGR dL". www.vgrdl.de. 
  48. ^ https://www.bfs.admin.ch/bfs/en/home/statistics/national-economy/national-accounts/gross-domestic-product-canton.html
  49. ^ "Archived copy". Archived from the original on 2017-02-11. Retrieved 2017-02-09. 
  50. ^ "Andhra Pradesh Budget Analysis 2018-19" (PDF). PRS Legislative Research. Retrieved 10 March 2018. 
  51. ^ "Archived copy". Archived from the original on 2017-02-02. Retrieved 2017-01-24. 
  52. ^ [1][dead link]
  53. ^ https://bea.gov/newsreleases/regional/gdp_state/2017/pdf/qgsp1117.pdf
  54. ^ "Madhya Pradesh Budget Analysis 2018-19" (PDF). PRS Legislative Research. Retrieved 5 March 2018. 
  55. ^ "Regionale rekeningen; kerncijfers". CBS (in Dutch). Retrieved 21 August 2014. 
  56. ^ "Kerala Budget Analysis 2017-18" (PDF). PRS Legislative Research. 
  57. ^ "Rajasthan Budget Analysis 2016-17" (PDF). PRS Legislative Research. Retrieved 19 November 2016. 
  58. ^ "Telangana Budget Analysis 2016-17" (PDF). PRS Legislative Research. Retrieved 19 November 2016. 
  59. ^ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a
  60. ^ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a
  61. ^ "Haryana State Budget" (PDF). 
  62. ^ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a
  63. ^ "الرئيسية". Dsc.gov.ae. Retrieved 2017-03-30. 
  64. ^ http://mrd.gks.ru/wps/wcm/connect/rosstat_ts/mrd/ru/statistics/grp/5.8
  65. ^ "Estadísticas Regionales". Banco Central. Retrieved 20 October 2016. 
  66. ^ "Bihar State Budget" (PDF). 

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