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Liska Magaalooyinka GDP 2018

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Magalo /Metropolitan area Waddanka/Region UNSD
sub‑region[1] 		Official est.
Nominal
GDP ($BN) 		Brookings Institution[2]
2014 est.
PPP-adjusted
GDP ($BN) 		PwC[3]
2008 est.
PPP-adjusted
GDP ($BN) 		McKinsey[4]
2010 est.
Nominal
GDP ($BN) 		Other est.
Nominal
GDP ($BN)
Aachen-Liège  Belgium Western Europe 700199700000000000099.7
Aberdeen  United Kingdom Northern Europe 700111300000000000011.3 (2008)[5]
Abidjan  Ivory Coast Africa 700113000000000000013
Abu Dhabi  United Arab Emirates Western Asia 7002119000000000000119[6] 7002178300000000000178.3 700167100999990000067.1
Addis Ababa  Itoobiya Africa 700112000000000000012
Adelaide  Australia Oceania 700159100000000000059.1 (2015–16)[7] 700147400000000000047.4
Ahmedabad  India South Asia 700159000000000000059 700122000000000000022
Akron  United States North America 700137300999990000037.300 (2016)[8] 700132800999990000032.8
Albany  United States North America 700152339000000000052.339 (2016)[8] 700158400000000000058.4
Albuquerque  United States North America 700143250000000000043.250 (2016)[8] 700139900000000000039.9
Alexandria  Masar Africa 700132400000000000032.4 700146000000000000046
Algiers Aljeeriya Africa 700145000000000000045
Allentown  United States North America 700142700000000000042.700 (2016)[8] 700137300999990000037.3
Almaty  Kazakhstan East Asia 700153100000000000053.1
Amsterdam Template:NLD Western Europe 7002154000000000000154.0 (2015)[9] 7002320600000000000320.6[Note 1] 700147000000000000047
Anápolis Template:BRA South America 70006740000000000006.740 (2011)[10]
Ankara  Turkey Western Asia 7002108900000000000108.9 700158000000000000058 700164900000000000064.9
Anshan  China East Asia 700169400000000000069.4
Arnhem-Nijmegen Template:Country data Nederlands Western Europe 700127900000000000027.9 (2016)[9] 700144400000000000044.4
Athens  Greece Southern Europe 700198700000000000098.7 (2015)[9] 7002129600000000000129.6 700196000000000000096
Atlanta  United States North America 7002363767999900000363.768 (2016)[8] 7002299390000000000299.4 7002304000000000000304 7002249700000000000249.7 7002242400000000000242.4[11]
Auckland Template:NZL Oceania 700149500000000000049.5 700155000000000000055
Austin  United States North America 7002139010000099999139.010 (2016)[8] 7002107400000000000107.4
Bakersfield  United States North America 700135162000000000035.162 (2016)[8] 700147900000000000047.9
Baghdad  Iraq Western Asia 700155000000000000055
Baltimore  United States North America 7002189395000000000189.395 (2016)[8] 7002173700000000000173.7 7002137000000000000137 7002118100000000000118.1[11]
Bandung  Indonesia South-East Asia 700121000000000000021
Bangalore Template:IND South Asia 700145100000000000045.1 700169000000000000069 700128600000000000028.6
Bangkok  Thailand South-East Asia 7002306800000000000306.8 7002119000000000000119 7002105000000000000105.0
Baotou  China East Asia 700140800999990000040.8 (2017) [12] 700194100000000000094.1
Barcelona Template:ESP Southern Europe 7002167800000000000167.8 (2015)[9] 7002171000000000000171.0 7002177000000000000177
Basel-Mulhouse  Switzerland Western Europe 700156200000000000056.2
Baton Rouge  United States North America 700151149000000000051.149 (2014)[8] 700153500000000000053.5
Beijing  China East Asia 7002441400000000000441.4 (2017)[13] 7002506100000000000506.1 7002166000000000000166 7002206200000000000206.2
Belfast  United Kingdom Northern Europe 700125500000000000025.5 (2015)[9]
Belgrade Template:SRB Southern Yurub 700117400999990000017.4 (2014)[14]
Belo Horizonte Template:BRA South America 700154996000000000054.996 (2011)[10] 700184700000000000084.7 700161000000000000061 700178500000000000078.5
Berbera  Somalia Afrika 70001200000000000001.2 (2018)[15] 70001500000000000001.5 70001500000000000001.5Management:favri limited liability company 
Location:muqdisho somali
Berlin  Germany Western Europe 7002215200000000000215.2 (2015)[15] 7002157690000000000157.7 700195000000000000095
Bielefeld-Detmold  Germany Western Europe 700150500000000000050.5
Bilbao Template:ESP Southern Europe 700136900000000000036.9 (2015)[9] 700138500000000000038.5
Birmingham  United Kingdom Northern Yurub 700181800000000000081.8 (2016)[9] 7002121100000000000121.1 700190000000000000090
Birmingham, Alabama  United States North America 700162758000000000062.758 (2016)[8] 700154164000000000054.164
Bogotá Template:COL South America 7002159900000000000159.9 7002100000000000000100 7002221100000000000221.1 (2015)
Bologna  Italy Southern Europe 700143400000000000043.4 (2015)[9] 700136300999990000036.3
Bordeaux Faransiiska Western Europe 700155900000000000055.9 (2015)[9] 700140200000000000040.2
Boston  United States North America 7002422660000000000422.660 (2016)[8] 7002360100000000000360.1 7002363000000000000363 7002261100000000000261.1[11]
Brasília Template:BRA South America 7002164482000000000164.482 (2011)[10] 7002141900000000000141.9 7002110000000000000110 7002101600000000000101.6
Braunschweig-Wolfsburg  Germany Western Europe 700145500000000000045.5
Bremen  Germany Western Europe 700130400000000000030.4 (2015)[15] 700147900000000000047.9
Bridgeport  United States North America 7002102401000000000102.401 (2016)[8] 700170000000000000070.0
Brisbane Template:AUS Oceania 7002120600000000000120.6 (2015–16)[16] 700196600000000000096.6
Bristol  United Kingdom Northern Europe 700151500000000000051.5 (2016)[9] 700147700000000000047.7
Brussels Template:BEL Western Europe 7002144359000000000144.359 (2016)[9] 7002254300000000000254.3 700183000000000000083
Bucharest Romania Eastern Europe 700180407000000000080.407 (2019)[9] 700182400000000000082.4
Budapest Template:HUN Eastern Europe 700158500000000000058.5 (2016)[9] 700198000000000000098.0 700153000000000000053
Buenos Aires Arjantiina South America 7002315890000000000315.9 7002362000000000000362 7002191700000000000191.7
Buffalo  United States North America 700158062000000000058.062 (2016)[8] 700172700000000000072.7
Bursa  Turkey Western Asia 700180100999990000080.1
Busan Koonfur Kuuriya East Asia 7002296500000000000296.5 7002121000000000000121
Cairo  Masar Africa 7002102200000000000102.2 7002145000000000000145
Calgary Template:CAN North America 700197900000000000097.9
Cambridge  United Kingdom Northern Europe 700118600000000000018.6[17]
Campinas Template:BRA South America 700140525000000000040.525 (2011)[10] 700159300000000000059.3
Campo Grande Template:BRA South America 70009211000000000009.211 (2011)[10]
Campos dos Goytacazes Template:BRA South America 700116174000000000016.174 (2011)[10]
Cape Town Template:ZAF Africa 700158900000000000058.9 7002103000000000000103
Caracas Template:VEN South America 700151800000000000051.8 700141000000000000041 700192000000000000092[18]
Cardiff-Newport  United Kingdom Northern Europe 700133700000000000033.7 (2016)[9] 700136000000000000036.0
Casablanca  Morocco Africa 700137900000000000037.9 700133000000000000033
Changchun  China East Asia 700196700000000000096.7 (2017) [12] 7002124500000000000124.5 700126000000000000026
Changsha  China East Asia 7002156000000000000156.0 (2017) [12] 7002186400000000000186.4 700140300999990000040.3
Changzhou  China East Asia 700198100000000000098.1 (2017) [12] 7002110900000000000110.9 700134300999990000034.3
Charlotte  United States North America 7002163637000000000163.637 (2016)[8] 7002126200000000000126.2
Chengdu  China East Asia 7002205700000000000205.7 (2017) [19] 7002233500000000000233.5 700133000000000000033 700157800000000000057.8
Chennai Template:IND South Asia 700158600000000000058.6 700166000000000000066
Chicago  United States North America 7002651222000000000651.222 (2016)[8] 7002563200000000000563.2 7002574000000000000574 7002496400000000000496.4 7002461400000000000461.4[11]
Chittagong  Bangladesh South Asia 700124000000000000024
Chongqing  China East Asia 7002288800000000000288.8 (2017) [12] 7002315600000000000315.6 700157000000000000057 700188600000000000088.6
Cincinnati  United States North America 7002132010000099999132.010 (2016)[8] 7002110900000000000110.9
Cleveland  United States North America 7002129440000000000129.440 (2016)[8] 7002115100000000000115.1 7002112000000000000112 700199300000000000099.3[11]
Columbia  United States North America 700140086000000000040.086 (2016)[8] 700137200000000000037.2
Columbus  United States North America 7002130758000000000130.758 (2016)[8] 7002108900000000000108.9
Copenhagen Template:DNK Northern Europe 7002134300000000000134.3 (2016)[9] 7002127000000000000127.0[Note 2] 700149000000000000049
Cracow Boland Eastern Europe 700122000000000000022.0 (2015)[9] 700133100000000000033.1
Coventry  United Kingdom Northern Europe 70007400000000000007.4 (2008)[5]
Curitiba Template:BRA South America 700158082000000000058.082 (2011)[10] 700157700000000000057.7 700144000000000000044
Daegu Koonfur Kuuriya East Asia 700154500000000000054.5 700143000000000000043
Daejeon Koonfur Kuuriya East Asia 700139600000000000039.6
Jabuuti (magaalo) Jabuuti Afrika 70001572000000000001.572 (2018)[8] 70001700000000000001.7 70001600000000000001.6 70001600000000000001.6[11]
Dalian  China East Asia 7002109100000000000109.1 (2017) [12] 7002198800000000000198.8 700153800000000000053.8
Dallas-Fort Worth-Arlington  United States North America 7002511606000000000511.606 (2016)[8] 7002412700000000000412.7 7002338000000000000338 7002324890000000000324.9 7002315500000000000315.5[11]
Daqing  China East Asia 700139700000000000039.7 (2017) [12] 700198500000000000098.5
Dayton  United States North America 700140572000000000040.572 (2016)[8] 700137500000000000037.5
Dar es Salaam Template:TZA Africa 70008000000000000008
Delhi Template:IND South Asia 7002293600000000000293.6 7002167000000000000167 700147600000000000047.6
Denver  United States North America 7002197572000000000197.572 (2016)[8] 7002169700000000000169.7 7002165000000000000165 7002131600000000000131.6[11]
Des Moines  United States North America 700150246000000000050.246 (2016)[8] 700139500000000000039.5
Detroit  United States North America 7002252691000000000252.691 (2016)[8] 7002207500000000000207.5 7002253000000000000253 7002198600000000000198.6[11]
Dhaka  Bangladesh South Asia 700178000000000000078 700129000000000000029
Doha

Qatar

Western Asia 700198800000000000098.8
Dongguan  China East Asia 7002112300000000000112.3 (2017) [12] 7002141100000000000141.1 700162700000000000062.7
Dongying  China East Asia 700156300000000000056.3 (2017) [12] 700183700000000000083.7
Dubai  United Arab Emirates Western Asia 700182900000000000082.9
Dublin Template:IRL Northern Europe 7002127800000000000127.8 (2015)[9] 700190100000000000090.1 700161000000000000061
Durban Template:ZAF Africa 700148900000000000048.9
Durham  United States North America 700143908000000000043.908 (2016)[8] 700137000000000000037.0
East Rand Template:ZAF Africa 700155300000000000055.3 700154000000000000054
Edinburgh  United Kingdom Northern Europe 700141800999990000041.8 (2016)[9] 700132500000000000032.5
Edmonton Template:CAN North America 700183000000000000083.0
Eindhoven-Den Bosch Template:NLD Western Europe 700191500000000000091.5
El Paso  United States North America 700128644000000000028.644 (2016)[8] 700132700000000000032.7
Faisalabad  Pakistan South Asia 700120550000000000020.55[20] 700114000000000000014
Florence  Italy Southern Europe 700140100000000000040.1 (2015)[9] 700152500000000000052.5
Fortaleza Template:BRA South America 700142010000000000042.010 (2011)[10] 700135200000000000035.2 700125000000000000025
Foshan  China East Asia 7002141400000000000141.4 (2017) [12] 7002184500000000000184.5 700183500000000000083.5
Frankfurt  Germany Western Europe 7002230000000000000230.0
Fresno  United States North America 700140465000000000040.465 (2016)[8] 700145500000000000045.5
Fukuoka–Kitakyushu Template:JPN East Asia 7002185000000000000185 (2013)[21] 7002193300000000000193.3 700188000000000000088[Note 3] 7002157300000000000157.3[22]
Fuzhou  China East Asia 7002105200000000000105.2 (2017) [12] 7002117400000000000117.4 700123400000000000023.4
Geneva  Switzerland Western Europe 700144000000000000044.0
George Town  Malaysia South-East Asia 700138000000000000038.0
Glasgow  United Kingdom Northern Europe 700166400000000000066.4 (2016)[9] 700156700000000000056.7
Gothenburg Template:SWE Northern Europe 700184400000000000084.4 (2016)[9] 700140000000000000040.0
Grand Rapids  United States North America 700158465000000000058.465 (2016)[8] 700151600000000000051.6
Greensboro  United States North America 700139944000000000039.944 (2016)[8] 700140900000000000040.9
Greenville  United States North America 700140693000000000040.693 (2016)[8] 700135600000000000035.6
Goiânia Template:BRA South America 700122763000000000022.763 (2011)[10]
Guadalajara Template:MEX North America 700180700000000000080.7 700181000000000000081
Guangzhou  China East Asia 7002341000000000000341 (2017) [12] 7002380300000000000380.3 7002143000000000000143 7002146100000000000146.1
Gwangju Koonfur Kuuriya East Asia 700136700000000000036.7
Haifa Template:ISR Western Asia 700140400000000000040.4
Hamamatsu Template:JPN East Asia 700152300000000000052.3
Hamburg  Germany Western Europe 7002120100000000000120.1 (2015)[15] 7002161400000000000161.4 700174000000000000074
Hangzhou  China East Asia 7002150800000000000150.8 (2015) [23] 7002219500000000000219.5 700170500000000000070.5
Hannover  Germany Western Europe 700151500000000000051.5 (2015)[15] 700159600000000000059.6
Hanoi Template:VNM East Asia 700142000000000000042 style="background:khaki;"
Hargeisa  Somalia Afrika 70002100000000000002.1 (2017) [12] 70002900000000000002.9 70002800000000999992.8
Harbin  China East Asia 700194100000000000094.1 (2017) [12] 7002127900000000000127.9 700138800999990000038.8
Harrisburg  United States North America 700135465000000000035.465 (2016)[8] 700135100000000000035.1
Hartford  United States North America 700190004000000000090.004 (2016)[8] 7002101200000000000101.2
Hefei  China East Asia 7002106800000000000106.8 (2017) [12] 7002120900000000000120.9 700131200000000000031.2
Helsinki Template:FIN Northern Europe 700190800000000000090.8 (2015)[9] 700177100999990000077.1 700158000000000000058
Hiroshima Template:JPN East Asia 700174900000000000074.9
Ho Chi Minh City Template:VNM South-East Asia 700171100999990000071.1 700158000000000000058
Hong Kong Template:Country data Hong Kong East Asia 7002364800000000000364.8 (2018)[24] 7002416000000000000416.0 7002320000000000000320 7002224500000000000224.5 7002258000000000000258.0[25]
Honolulu  United States North America 700164756000000000064.756 (2016)[8] 700158600000000000058.6
Houston  United States North America 7002478618000000000478.618 (2016)[8] 7002483200000000000483.2 7002297000000000000297 7002341100000000000341.1 7002316300000000000316.3[11]
Hsinchu Template:TWN East Asia 700138400000000000038.4
Huhehaote  China East Asia 700170100999990000070.1
Huntsville  United States North America 700124846000000000024.846 (2016)[8]
Hyderabad Template:IND South Asia 700140200000000000040.2 700159000000000000059
Indianapolis  United States North America 7002125864000000000125.864 (2014)[8] 7002113606000000000113.606
Islamabad  Pakistan South Asia
Istanbul  Turkey Western Asia 7002348700000000000348.7 7002182000000000000182 7002188200000000000188.2
Izmir  Turkey Western Asia 700180100999990000080.1 700142000000000000042
Jacksonville  United States North America 700171471000000000071.471 (2016)[8] 700163800000000000063.8
Jaipur Template:IND South Asia 700124000000000000024 700120000000000000020
Jakarta  Indonesia South-East Asia 7002321300000000000321.3 700192000000000000092 700170700000000000070.7
Jeddah  Saudi Arabia Western Asia 7002160600000000000160.6 700172000000000000072 700175900000000000075.9
Jerusalem Template:ISR Western Asia 700148000000000000048.0 (2015)[26]
Jinan  China East Asia 7002106700000000000106.7 (2017) [12] 7002136800000000000136.8 700143200000000000043.2
Johannesburg Template:ZAF Africa 700182900000000000082.9 7002110000000000000110
Jundiaí Template:BRA South America 700120081000000000020.081 (2011)[10]
Kabul Afghanistan South Asia 700114000000000000014
Kagoshima Template:JPN East Asia 700134300999990000034.3
Kano  Nigeria Africa 70009000000000000009
Kanpur Template:IND South Asia 700126000000000000026 70004000000000000004
Kansas City  United States North America 7002129163000000000129.163 (2016)[8] 7002105900000000000105.9 700191200000000000091.2[11]
Kaohsiung Template:TWN East Asia 7002113647000000000113.647 700178000000000000078 700128000000000000028
Karachi  Pakistan South Asia 700178000000000000078 700128000000000000028
Karlsruhe  Germany Western Europe 700137600000000000037.6 (2015)[9] 7002137100000000000137.1
Katowice Boland Eastern Europe 700137900000000000037.9 (2015)[9] 7002122300000000000122.3
Kaunas Template:LTU Northern Europe 700110000000000000010.0 (2016)[27]
Khartoum  Sudan Africa 700135000000000000035
Kiev  Ukrain Eastern Europe 700135000000000000035.0 (2012)[28]
Kingston-upon-Hull  United Kingdom Northern Europe 700117700000000000017.7 (2016)[9]
Kinshasa Template:Country data DR Congo Africa 700117000000000000017
Klaipėda Template:LTU Northern Europe 70006000000000000006.0 (2016)[29]
Knoxville  United States North America 700139825000000000039.825 (2016)[8] 700138300999990000038.3
Kolkata Template:IND South Asia 700160400000000000060.4 7002104000000000000104
Kuala Lumpur  Malaysia South-East Asia 7002171800000000000171.8
Kumamoto Template:JPN East Asia 700141800999990000041.8
Kunming  China East Asia 700172000000000000072.0 (2017) [12] 700188600000000000088.6
Kuwait City  Kuwait Western Asia 7002166500000000000166.5 7002117500000000000117.5
Lagos  Nigeria Africa 700174670000000000074.67 (2010)[30] 700135000000000000035
Lahore  Pakistan South Asia 700140000000000000040 700113000000000000013
Las Vegas  United States North America 7002111091000000000111.091 (2016)[8] 700193900000000000093.9
Leeds  United Kingdom Northern Europe 700144800000000000044.8 (2016)[9] 700174600999990000074.6[Note 4] 700160000000000000060
Leicester  United Kingdom Northern Europe 700146800000000000046.8 (2016)[9] 700128700000000000028.7[31]
Leipzig-Halle  Germany Western Europe 700133400000000000033.4 (2015)[9] 700139600000000000039.6
Lille Faransiiska Western Europe 700183300000000000083.3 (2015)[9] 700198500000000000098.5 700133000000000000033
Lima Template:PER South America 7002176500000000000176.5 7002109000000000000109 700177300000000000077.3
Linz Template:AUT Western Europe 700137900000000000037.9 (2015)[9] 700144600000000000044.6
Lisbon Template:PRT Southern Europe 700172000000000000072.0 (2015)[9] 700196300000000000096.3 700198000000000000098
Little Rock  United States North America 700137796000000000037.796 (2016)[8] 700140700000000000040.7
Liverpool  United Kingdom Northern Europe 700147800000000000047.8 (2016)[9] 700165800000000000065.8
London  United Kingdom Northern Europe 7002879500000000000879.5 (2016)[9] 7002835700000000000835.7 7002565000000000000565 7002751800000000000751.8
Los Angeles  United States North America 70031001000000000001,001 (2016)[32] 7002860500000000000860.5 7002792000000000000792 7002731800000000000731.8 7002632400000000000632.4[11]
Louisville  United States North America 700174968000000000074.968 (2016)[8] 700162397000000000062.397
Luanda Template:AGO Africa 700133000000000000033 700138600000000000038.6
Lucknow Template:IND South Asia 700122000000000000022
Luxembourg-Trier Template:LUX Western Europe 700162000000000000062 (2014)[33] 700162000000000000062
Luton  United Kingdom Northern Europe 70007200000000000007.2[34]
Lyon Faransiiska Western Europe 700188200000000000088.2 (2016)[9] 700197000000000000097.0 700169000000000000069 7002197000000000000197[35]
Macau Template:Country data Macau East Asia 700153700000000000053.7 (2018)[36] 700153900000000000053.9
Madison  United States North America 700147425000000000047.425 (2016)[8] 700141800999990000041.8
Madrid Template:ESP Southern Europe 7002225900000000000225.9 (2015)[9] 7002262300000000000262.3 7002230000000000000230
Manaus Template:BRA South America 700151025000000000051.025 (2011)[10]
Manchester  United Kingdom Northern Europe 7002113700000000000113.7 (2016)[9] 700192300000000000092.3 700185000000000000085
Manila Template:PHL South-East Asia 7002182800000000000182.8 7002149000000000000149
Marseille Faransiiska Western Europe 7002104100000000000104.1 (2015)[9] 700160300000000000060.3
Medellín Template:COL South America 700143500000000000043.5 700150000000000000050
Medan  Indonesia South-East Asia 70008090000000000008.09[37]
Melbourne Template:AUS Oceania 7002229200000000000229.2 (2015–16)[38] 7002178400000000000178.4 7002172000000000000172 7002221400000000000221.4
Memphis  United States North America 700171450000000000071.450 (2016)[8] 700165000000000000065.0
Mexico City Template:MEX North America 7002403600000000000403.6 7002390000000000000390 7002255100000000000255.1
Miami  United States North America 7002328482000000000328.482 (2016)[8] 7002262700000000000262.7 7002292000000000000292 7002235900000000000235.9 7002231800000000000231.8[11]
Milan  Italy Southern Europe 7002214500000000000214.5 (2015)[9] 7002312100000000000312.1 7002136000000000000136
Milwaukee  United States North America 7002100869000000000100.869 (2016)[8] 700186500000000000086.5
Minneapolis/St. Paul  United States North America 7002246689000000000246.689 (2016)[8] 7002211400000000000211.4 7002194000000000000194 7002171600000000000171.6[11]
Minsk Template:BLR Eastern Europe 700113000000000000013.0 (2012)[39]
Monterrey Template:MEX North America 7002122900000000000122.9 7002102000000000000102
Montevideo Template:URY South America 700144000000000000044.0[40][Note 5]
Montreal Template:CAN North America 7002155900000000000155.9 7002148000000000000148
Muqdisho  Somalia Afrika 70003000000000000003.0 70003000000000000003.0
Moscow  Russia Eastern Europe 7002225000000000000225.0 (2015)[41] 7002553290000099999553.3 7002321000000000000321 7002325800000000000325.8
Mumbai Template:IND South Asia 7002150800000000000150.8 7002209000000000000209 700155900000000000055.9
Munich  Germany Western Europe 7002190000000000000190.0 (2016)[9] 7002219900000000000219.9 700164000000000000064
Nagoya Template:JPN East Asia 7002368000000000000368 (2013)[42] 7002363800000000000363.8 7002256300000000000256.3[43]
Nagpur Template:IND South Asia 700118000000000000018
Nairobi

 Kiinya

Africa 700112000000000000012
Nanchang  China East Asia 700174100999990000074.1 (2017) [12] 700196000000000000096.0
Nanjing  China East Asia 7002173500000000000173.5 (2017) 7002202700000000000202.7 700168500000000000068.5
Nanning  China East Asia 700161000000000000061.0 (2017) [12] 700170300000000000070.3
Nantes Faransiiska Western Europe 700151000000000000051.0 (2016)[9] 700132000000000000032.0
Nantong  China East Asia 7002114600000000000114.6 (2017) [12] 7002128300000000000128.3
Naples  Italy Southern Europe 700162800000000000062.8 (2015)[9] 700185500000000000085.5 700151000000000000051
Nashville  United States North America 7002124243000000000124.243 (2016)[8] 700195000000000000095.0
New Haven  United States North America 700144120000000000044.120 (2016)[8] 700153300000000000053.3
New Orleans  United States North America 700177173000000000077.173 (2016)[8] 700174200000000000074.2
New York  United States North America 70031657457000000001,657.457 (2016)[44] 70031403000000000001,403 70031406000000000001,406 70031180300000000001,180.3 70031056400000000001,056.4[11]
Newcastle  United Kingdom Northern Europe 700136000000000000036.0 (2016)[9] 700144600000000000044.6
Nice Faransiiska Western Europe 700136100000000000036.1 (2015)[9] 700146000000000000046.0
Niigata Template:JPN East Asia 700150300000000000050.3
Ningbo  China East Asia 7002145800000000000145.8 (2017) [12] 7002179000000000000179.0 700145000000000000045.0
Nottingham-Derby  United Kingdom Northern Europe 700151000000000000051.0
Nürnberg-Fürth  Germany Western Europe 7002164600000000000164.6 (2014)[45] 700174500000000000074.5
Okayama Template:JPN East Asia 700156800000000000056.8
Oklahoma City  United States North America 700170235000000000070.235 (2016)[8] 700170010000000000070.010
Omaha  United States North America 700161289000000000061.289 (2016)[8] 700151200000000000051.2
Orlando  United States North America 7002126797000000000126.797 (2016)[8] 7002116200000000000116.2
Osaka–Kobe Template:JPN East Asia 7002584000000000000584 (2013)[46] 7002671300000000000671.3[Note 6] 7002417000000000000417 7002612790000000000612.8[47]
Oslo Template:NOR Northern Europe 700174000000000000074.0 (2014)[48] 700174400000000000074.4 700140000000000000040
Ottawa Template:CAN North America 700158200000000000058.2
Oxnard  United States North America 700148516000000000048.516 (2016)[8] 700146300000000000046.3
Paris Faransiiska Western Europe 7002850000000000000850 (2016)[49] 7002715100000000000715.1 7002564000000000000564 7002764200000000000764.2
Patna Template:IND South Asia 700115000000000000015 700111000000000000011
Perth Template:AUS Oceania 7002112200000000000112.2 (2015–16)[50] 7002134000000000000134.0
Philadelphia  United States North America 7002431038000000000431.038 (2016)[8] 7002346500000000000346.5 7002388000000000000388 7002314500000000000314.5 7002295200000000000295.2[11]
Phoenix  United States North America 7002230070000000000230.070 (2016)[8] 7002207100000000000207.1 7002200000000000000200 7002181600000000000181.6 7002160000000000000160[11]
Pittsburgh  United States North America 7002138137000000000138.137 (2016)[8] 7002138400000000000138.4 700199000000000000099 7002102100000000000102.1[11]
Portland  United States North America 7002164466000000000164.466 (2016)[8] 7002158500000000000158.5 7002110000000000000110 700195600000000000095.6[11]
Porto Template:PRT Southern Europe 700131300000000000031.3 (2015)[9] 700143000000000000043.0
Porto Alegre Template:BRA South America 700145506000000000045.506 (2011)[10] 700162100000000000062.1 700166000000000000066
Portsmouth  United Kingdom Northern Europe 700125900000000000025.9 (2016)[9] 700151600000000000051.6[Note 7]
Prague Template:CZE Eastern Europe 700173000000000000073.0 (2016)[9] 700189200000000000089.2 700149000000000000049
Pretoria Template:ZAF Africa 700149900000000000049.9
Providence  United States North America 700180164000000000080.164 (2016)[8] 700178114000000000078.114
Puebla Template:MEX North America 700138100000000000038.1 700142000000000000042
Pune Template:IND South Asia 7002138000000000000138 700189000000000000089 700178000000000000078 700149000000000000049
Pyongyang Template:PRK East Asia 700111000000000000011
Qingdao  China East Asia 7002163500000000000163.5 (2017) [12] 7002208700000000000208.7 700148100000000000048.1
Quebec City Template:CAN North America 700133400000000000033.4
Raleigh  United States North America 700179834000000000079.834 (2016)[8] 700164400000000000064.4
Rangoon Template:MMR South-East Asia 700124000000000000024
Recife Template:BRA South America 700136448000000000036.448 (2011)[10] 700140500000000000040.5 700135000000000000035
Rhine-Ruhr  Germany Western Europe 7002573700000000000573.7 (2014)[45] 7002485200000000000485.2 700139000000000000039[Note 8] 7002484600000000000484.6
Richmond  United States North America 700180702000000000080.702 (2016)[8] 700171589000000000071.589
Riga Template:LVA Northern Europe 700116000000000000016.0 (2014)[51]
Rio de Janeiro Template:BRA South America 7002209366000000000209.366 (2011)[10] 7002176600000000000176.6 7002201000000000000201 7002180900000000000180.9
Riyadh  Saudi Arabia Western Asia 7002163500000000000163.5 7002107000000000000107 7002122700000000000122.7
Rochester  United States North America 700155426000000000055.426 (2016)[8] 700167800000000000067.8
Rome  Italy Southern Europe 7002166800000000000166.8 (2015)[9] 7002163190000000000163.2 7002144000000000000144
Rotterdam Template:NLD Western Europe 700169000000000000069.0 (2015)[9] 7002320600000000000320.6[Note 9] 700146000000000000046
Saarbrucken  Germany Western Europe 700141700000000000041.7
Sacramento  United States North America 7002122218000000000122.218 (2016)[8] 7002127400000000000127.4
Salt Lake City  United States North America 700184826999999999984.826 (2016)[8] 700173836000000000073.836
St. Louis  United States North America 7002159888000000000159.888 (2016)[8] 7002140600000000000140.6 7002126000000000000126 7002116200000000000116.2[11]
Saint Petersburg  Russia Eastern Europe 700163000000000000063[41] 7002119600000000000119.6 700191000000000000091
Salvador Template:BRA South America 700138819000000000038.819 (2011)[10] 700138500000000000038.5 700110000000000000010
San Antonio  United States North America 7002116538000000000116.538 (2016)[8] 7002102771000000000102.771 7002146300000000000146.3[11]
San Bernardino-Riverside  United States North America 7002149059000000000149.059 (2016)[8] 7002154904000000000154.904
San Diego  United States North America 7002215343000000000215.343 (2016)[8] 7002202500000000000202.5 7002191000000000000191 7002172900000000000172.9 7002146300000000000146.3[11]
San Francisco  United States North America 7002470529000000000470.529 (2016)[8] 7002331000000000000331.0 7002301000000000000301 7002283300000000000283.3 7002268300000000000268.3[11]
San Jose  United States North America 7002252487000000000252.487 (2016)[8] 7002160300000000000160.3
San Juan Template:Country data Puerto Rico Caribbean 700142700000000000042.7
Santiago Template:CHL South America 7002171400000000000171.4 7002120000000000000120 700193000000000000093.0
Santos Template:BRA South America 700128609000000000028.609 (2011)[10]
São José dos Campos Template:BRA South America 700130148000000000030.148 (2011)[10]
São José dos Pinhais Template:BRA South America 700114726000000000014.726 (2011)[10]
São Paulo Template:BRA South America 7002582078999900000582.079 (2013)[10] 7002430500000000000430.5 7002388000000000000388 7002437300000000000437.3
Sapporo Template:JPN East Asia 700180500000000000080.5
Seattle  United States North America 7002330409000000000330.409 (2016)[8] 7002267500000000000267.5 7002235000000000000235 7002211000000000000211.0 7002182200000000000182.2[11]
Sendai Template:JPN East Asia 700175300000000000075.3
Seoul Koonfur Kuuriya East Asia 7002635400000000000635.4 (2015)[52] 7002845900000000000845.9 7002291000000000000291 7002233300000000000233.3
Seville Template:ESP Southern Europe 700139800999990000039.8 (2015)[9] 700135800999990000035.8
Shanghai  China East Asia 7002469000000000000469 (2017) [53] 7002594000000000000594.0 7002233000000000000233 7002250700000000000250.7 7002200000000000000200.0[54]
Shantou  China East Asia 700134800999990000034.8 (2017) [53] 700138700000000000038.7
Sheffield  United Kingdom Northern Europe 700117400999990000017.4 (2016)[9] 700139800999990000039.8
Shenyang  China East Asia 700186900000000000086.9 (2017) [53] 7002189300000000000189.3 700144000000000000044 700164300000000000064.3
Shenzhen  China East Asia 7002338000000000000338 (2017)[55] 7002363200000000000363.2 7002141500000000000141.5
Shijiazhuang  China East Asia 700195700000000000095.7 (2017) [53] 7002130500000000000130.5
Shizuoka Template:JPN East Asia 700158400000000000058.4
Singapore Template:SGP South-East Asia 7002349500000000000349.5 (2018)[56][57] 7002365900000000000365.9 7002215000000000000215 7002222700000000000222.7 7002267890000099999267.9[58]
Sofia Template:BGR Eastern Europe 700124000000000000024.0 (2016)[9] 700143800000000000043.8
Sorocaba Template:BRA South America 700121313000000000021.313 (2011)[10]
Southampton  United Kingdom Northern Europe 70009600000000000009.6 (2016)[9] 700151600000000000051.6[Note 10]
Springfield  United States North America 700127333000009999927.333 (2016)[8] 700132800999990000032.8
Stockholm Template:SWE Northern Europe 7002180000000000000180[59] 7002143000000000000143.0 700170000000000000070 7002208000000000000208[59]
Strasbourg Faransiiska Western Europe 700137300999990000037.3
Stuttgart Template:GER Western Europe 7002173500000000000173.5 (2016)[9] 7002157800000000000157.8
Surat Template:IND South Asia 700159800000000000059.8 700136000000000000036 700114000000000000014
Suzhou  China East Asia 7002256500000000000256.5 (2017) [12] 7002339000000000000339.0 700152700000000000052.7
Sydney Template:AUS Oceania 7002302700000000000302.7 (2015–16)[60] 7002223400000000000223.4 7002213000000000000213 7002268890000099999268.9
Syracuse  United States North America 700132683000000000032.683 (2016)[8] 700140600000000000040.6
Taichung Template:TWN East Asia 7002114700000000000114.7
Tainan Template:TWN East Asia 700176700000000000076.7
Taipei Template:TWN East Asia 7002327300000000000327.3 7002160300000000000160.3 7002172500000000000172.5[61]
Taiyuan  China East Asia 700163000000000000063.0
Tallinn Template:EST Northern Europe 700116000000000000016.0 (2014)[62]
Tampa  United States North America 7002142633000000000142.633 (2016)[8] 7002130300000000000130.3 7002123000000000000123 7002101000000000000101[11]
Tangshan  China East Asia 7002105300000000000105.3 (2017) [53] 7002162300000000000162.3 700133600000000000033.6
Taoyuan Template:TWN East Asia 700186800000000000086.8
Tbilisi Template:GEO Western Asia 70008000000000000008.0 (2017)[63]
Tehran

Iiraan

South Asia 7002127000000000000127
Tel Aviv Template:ISR Western Asia 7002153300000000000153.3 7002122000000000000122 7002114800000000000114.8
Thessaloniki Giriiga Southern Europe 700119800000000000019.8 (2011)[64]
Tianjin  China East Asia 7002275390000099999275.4 (2017) [65] 7002372000000000000372.0 700174000000000000074 7002128800000000000128.8
Tokyo Template:JPN East Asia 70031893000000000001,893 (2015)[66] 70031617000000000001,617 70031479000000000001,479 70031874700000000001,874.7 70031997500000000001,997.5[67]
70031797900000000001,797.9[68]
Toronto Template:CAN North America 7002303000000000000303 (2014)[69] 7002276300000000000276.3 7002253000000000000253 7002270000000000000270.0
Toulouse Faransiiska Western Europe 700158700000000000058.7 (2015)[9] 700147400000000000047.4
Tucson  United States North America 700137040000000000037.040 (2016)[8] 700141200000000000041.2
Tulsa  United States North America 700158248000000000058.248 (2016)[8] 700148600000000000048.6 700146400000000000046.4[70]
Turin  Italy Southern Europe 700176900000000000076.9 (2015)[9] 700178800000000000078.8 700168000000000000068
Uberlandia Template:BRA South America 700114728000000000014.728 (2011)[10]
Valencia Template:ESP Southern Europe 700160100000000000060.1 (2015)[9] 700152700000000000052.7
Vancouver Template:CAN North America 7002109800000000000109.8 700195000000000000095
Venice-Padova  Italy Southern Europe 700162200000000000062.2 (2015)[9] 700157300000000000057.3
Vienna Template:AUT Western Europe 7002131900000000000131.9 (2015)[9] 7002183700000000000183.7[Note 11] 7002122000000000000122
Vilnius Template:LTU Northern Europe 700120000000000000020.0 (2016)[71]
Virginia Beach  United States North America 700192827000000000092.827 (2016)[8] 700192100000000000092.1
Visakhapatnam Template:IND South Asia 700143500000000000043.5 70006000000000000006
Vitória Template:BRA South America 700128357000000000028.357 (2011)[10] 700135600000000000035.6
Warsaw Boland Eastern Europe 700183400000000000083.4 (2016)[9] 7002141100000000000141.1 700168000000000000068
Washington, DC  United States North America 7002509224000000000509.224 (2016)[8] 7002442200000000000442.2 7002375000000000000375 7002392200000000000392.2
Wenzhou  China East Asia 700180800000000000080.8 (2017) [12] 7002101900000000000101.9
Winnipeg Template:CAN North America 700132500000000000032.5
Worcester  United States North America 700144700000000000044.7
Wuhan  China East Asia 7002198600000000000198.6 (2017) [12] 7002231600000000000231.6 700152000000000000052 700182200000000000082.2
Wulumuqi  China East Asia 700159600000000000059.6
Wuxi  China East Asia 7002155690000000000155.7 (2017) [12] 7002211500000000000211.5 700147000000000000047.0
Xiamen  China East Asia 700164400000000000064.4 (2017) [12] 700176100999990000076.1 700130400000000000030.4
Xian  China East Asia 7002110600000000000110.6 (2017) [12] 7002124200000000000124.2 700131000000000000031 700140600000000000040.6
Xuzhou  China East Asia 700197800000000000097.8 (2017) [12] 7002113200000000000113.2 700122400000000000022.4
Yantai  China East Asia 7002108700000000000108.7 (2017) [12] 7002149000000000000149.0
Zhengzhou  China East Asia 7002135300000000000135.3 (2017) [12] 7002156000000000000156.0
Zhongshan  China East Asia 700151100000000000051.1 (2017) [12] 700168700000000000068.7
Zhuhai  China East Asia 700138000000000000038.0 (2017) [12] 700141300999990000041.3
Zibo  China East Asia 700170800000000000070.8 (2017) [12] 7002100300000000000100.3
Zürich  Switzerland Western Europe 7002109100000000000109.1 700152000000000000052
  1. ↑ "Nuqul Archive". United Nations. Waxaa laga kaydiyay the original 13 Bisha Todobaad 2011. Soo qaatay 23 October 2012.  Barameter aan la aqoon |ciwaan= ignored (caawin); Hubi qiimaynta taariikhda: |archive-date= (caawin)
  2. ↑ . Brookings Institution https://www.brookings.edu/research/global-metro-monitor/. Soo qaatay 8 May 2015.  Maqan ama ebar |title= (caawin)
  3. ↑ . Pricewaterhouse Coopers https://web.archive.org/web/20110504031739/https://www.ukmediacentre.pwc.com/imagelibrary/downloadMedia.ashx?MediaDetailsID=1562. Waxaa laga kaydiyay the original 4 May 2011. Soo qaatay 16 December 2009.  Maqan ama ebar |title= (caawin)
  4. ↑ "Nuqul Archive". Foreign Policy. Waxaa laga kaydiyay the original 28 Bisha Sideedaad 2012. Soo qaatay 24 August 2012.  Barameter aan la aqoon |ciwaan= ignored (caawin); Hubi qiimaynta taariikhda: |archive-date= (caawin)
  5. ↑ 5.0 5.1 (xls). Office for National Statistics. 6 March 2012 http://www.ons.gov.uk/ons/rel/regional-analysis/urban-audit/urban-audit-iv---united-kingdom-cities-compared-with-other-european-cities---march-2012/all-data-for-uk-cities---as-at-08-03-12.xls. Soo qaatay 13 August 2013.  Maqan ama ebar |title= (caawin)
  6. ↑ "Nuqul Archive" (PDF). Waxaa laga kaydiyay the original (PDF) 2016-03-04. Soo qaatay 2018-07-20.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  7. ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine AUD 78,251 million according to the SGS Economics and Planning table, i.e. US$59.1 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
  8. ↑ 8.00 8.01 8.02 8.03 8.04 8.05 8.06 8.07 8.08 8.09 8.10 8.11 8.12 8.13 8.14 8.15 8.16 8.17 8.18 8.19 8.20 8.21 8.22 8.23 8.24 8.25 8.26 8.27 8.28 8.29 8.30 8.31 8.32 8.33 8.34 8.35 8.36 8.37 8.38 8.39 8.40 8.41 8.42 8.43 8.44 8.45 8.46 8.47 8.48 8.49 8.50 8.51 8.52 8.53 8.54 8.55 8.56 8.57 8.58 8.59 8.60 8.61 8.62 8.63 8.64 8.65 8.66 8.67 8.68 8.69 8.70 8.71 8.72 8.73 8.74 8.75 8.76 8.77 8.78 . Bureau of Economic Analysis. U.S. Department of Commerce. September 20, 2017 https://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. Soo qaatay February 19, 2018.  Maqan ama ebar |title= (caawin)
  9. ↑ 9.00 9.01 9.02 9.03 9.04 9.05 9.06 9.07 9.08 9.09 9.10 9.11 9.12 9.13 9.14 9.15 9.16 9.17 9.18 9.19 9.20 9.21 9.22 9.23 9.24 9.25 9.26 9.27 9.28 9.29 9.30 9.31 9.32 9.33 9.34 9.35 9.36 9.37 9.38 9.39 9.40 9.41 9.42 9.43 9.44 9.45 9.46 9.47 9.48 9.49 9.50 9.51 9.52 9.53 9.54 9.55 9.56 9.57 9.58 "Nuqul Archive". Waxaa laga kaydiyay the original 2018-06-19.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  10. ↑ 10.00 10.01 10.02 10.03 10.04 10.05 10.06 10.07 10.08 10.09 10.10 10.11 10.12 10.13 10.14 10.15 10.16 10.17 10.18 10.19 10.20 10.21 . IBGE. 2013 http://www.cidades.ibge.gov.br/comparamun/compara.php?lang=&coduf=35&idtema=152&codv=V07&order=dado&dir=desc&lista=uf&custom=.  Maqan ama ebar |title= (caawin)
  11. ↑ 11.00 11.01 11.02 11.03 11.04 11.05 11.06 11.07 11.08 11.09 11.10 11.11 11.12 11.13 11.14 11.15 11.16 11.17 11.18 11.19 11.20 11.21 11.22 11.23 11.24 (PDF) http://www.demographia.com/db-metrogdp2005.pdf.  Maqan ama ebar |title= (caawin)
  12. ↑ 12.00 12.01 12.02 12.03 12.04 12.05 12.06 12.07 12.08 12.09 12.10 12.11 12.12 12.13 12.14 12.15 12.16 12.17 12.18 12.19 12.20 12.21 12.22 12.23 12.24 12.25 12.26 12.27 12.28 12.29 12.30 12.31 12.32 12.33 data.stats.gov.cn http://data.stats.gov.cn/easyquery.htm?cn=E0105. Soo qaatay 2017-08-25.  Maqan ama ebar |title= (caawin)
  13. ↑ "Nuqul Archive". bjstats.gov.cn. Waxaa laga kaydiyay the original 2019-01-04. Soo qaatay 2018-03-18.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  14. ↑ Statistical Yearbook of Serbia, pp. 146–47. Statistical Office of Serbia. GDP of Belgrade district in 2014 was 1,514,166 mio RSD x 0.0115 = 17.4 bn USD.
  15. ↑ 15.0 15.1 15.2 15.3 15.4 Baden-Württemberg, Statistisches Landesamt. "Nuqul Archive". www.statistik-bw.de. Waxaa laga kaydiyay the original 2019-02-13. Soo qaatay 2018-06-16.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  16. ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine AUD 157,931 million according to the SGS Economics and Planning table, i.e. US$120.6 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
  17. ↑ . Cambridge News https://web.archive.org/web/20111125095900/http://www.cambridge-news.co.uk/Business/Business-News/Booming-city-adding-12-billion-to-GDP-22112011.htm. Waxaa laga kaydiyay the original 25 November 2011. Soo qaatay 11 August 2008.  Maqan ama ebar |title= (caawin)
  18. ↑ mckinsey.com http://www.mckinsey.com/mgi/overview/in-the-news/urban-world-app. Soo qaatay 7 January 2017.  Maqan ama ebar |title= (caawin)
  19. ↑ data.stats.gov.cn http://data.stats.gov.cn/easyquery.htm?cn=E0105. Soo qaatay 2017-08-25.  Maqan ama ebar |title= (caawin)
  20. ↑ "Nuqul Archive". Punjab Board of Investment & Trade, Government of The Punjab. 2016. Waxaa laga kaydiyay the original April 16, 2017. Soo qaatay April 15, 2017.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  21. ↑ Approx., 2013 est. / GDP of Fukuoka Prefecture is 19.0 trillion yen (approximately US$185 billion). Cabinet Office, Government of Japan. Retrieved 14 August 2016.
  22. ↑ 2010 est. / JPY 13,811 billion according to Urban Employment Area. . Center for Spatial Information Science, University of Tokyo http://www.csis.u-tokyo.ac.jp/UEA/uea_data_e.htm.  Maqan ama ebar |title= (caawin)
  23. ↑ data.stats.gov.cn http://data.stats.gov.cn/easyquery.htm?cn=E0105. Soo qaatay 2017-08-25.  Maqan ama ebar |title= (caawin)
  24. ↑ . International Monetary Fund http://www.imf.org/external/pubs/ft/weo/2017/01/weodata/weorept.aspx?sy=2015&ey=2016&scsm=1&ssd=1&sort=country&ds=.&br=1&c=546%2C532&s=NGDPD&grp=0&a=&pr.x=54&pr.y=10. Soo qaatay 2017-08-25.  Maqan ama ebar |title= (caawin)
  25. ↑ . CIA https://www.webcitation.org/5glwctzKV?url=https://www.cia.gov/library/publications/the-world-factbook/geos/hk.html. Waxaa laga kaydiyay the original 14 May 2009. Soo qaatay 3 February 2013.  Maqan ama ebar |title= (caawin)
  26. ↑ https://www.lloyds.com/cityriskindex/locations/city/jerusalem
  27. ↑ https://osp.stat.gov.lt/statistiniu-rodikliu-analize?id=8,446&status=A#/
  28. ↑ "Nuqul Archive". Waxaa laga kaydiyay the original 2014-07-14. Soo qaatay 2018-07-20.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  29. ↑ Osp.stat.gov.lt http://osp.stat.gov.lt/en/statistiniu-rodikliu-analize?id=8446&status=A. Soo qaatay 2017-04-01.  Maqan ama ebar |title= (caawin)
  30. ↑ (PDF). Lagos State Government. 2010 https://web.archive.org/web/20150425055927/http://www.lagosstate.gov.ng/images/pageimages/downloadfiles/docs/LAGOS_STATE_GDP2010.pdf. Waxaa laga kaydiyay the original (PDF) 25 April 2015. Soo qaatay 16 March 2015.  Maqan ama ebar |title= (caawin)
  31. ↑ (PDF). Leicester and Leicestershire Enterprise Partnership. Autumn 2009 https://web.archive.org/web/20130813153918/http://www.llep.org.uk/index/downloads/filename/img_1307629108_8087.pdf. Waxaa laga kaydiyay the original (PDF) 13 August 2013. /catid/22/ LLEP  Maqan ama ebar |title= (caawin)
  32. ↑ https://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm
  33. ↑ www.brookings.edu/research/global-metro-monitor/
  34. ↑ . Timetric. 1 January 2010 https://timetric.com/index/s_oDrjWAQmO-NigOe8alMg/.  Maqan ama ebar |title= (caawin)
  35. ↑ . Insee. October 2014 http://www.insee.fr/fr/regions/rhone-alpes/default.asp?page=faitsetchiffres/presentation/presentation.htm. /catid/22/ LLEP  Maqan ama ebar |title= (caawin)
  36. ↑ . International Monetary Fund http://www.imf.org/external/pubs/ft/weo/2017/01/weodata/weorept.aspx?sy=2015&ey=2016&scsm=1&ssd=1&sort=country&ds=.&br=1&c=546%2C532&s=NGDPD&grp=0&a=&pr.x=54&pr.y=10. Soo qaatay 2017-08-25.  Maqan ama ebar |title= (caawin)
  37. ↑ "Nuqul Archive". Sumutprov.go.id. Waxaa laga kaydiyay the original 2015-03-28. Soo qaatay 2017-04-01.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  38. ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine AUD 303,560 million according to the SGS Economics and Planning table, i.e. US$229.188 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
  39. ↑ http://www.belstat.gov.by/bitrix/urlrewrite.php[dead link]
  40. ↑ . McKinsey http://www.mckinsey.com/tools/Wrappers/Wrapper.aspx?sid={C84CB74F-A3B1-47B1-8265-6252F6D85B68}&pid={4F5BEDB1-6C1F-4243-A052-83ADBABE82DF}. Soo qaatay 19 January 2016.  Maqan ama ebar |title= (caawin)
  41. ↑ 41.0 41.1 "Nuqul Archive". Mrd.gks.ru. Waxaa laga kaydiyay the original 2018-02-17. Soo qaatay 2017-04-01.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  42. ↑ Approx., 2013 est. / GDP of Aichi Prefecture is 37.8 trillion yen (approximately US$368 billion). Cabinet Office, Government of Japan. Retrieved 14 August 2016.
  43. ↑ 2010 est. / JPY 22,497 billion according to Urban Employment Area. . Center for Spatial Information Science, University of Tokyo http://www.csis.u-tokyo.ac.jp/UEA/uea_data_e.htm.  Maqan ama ebar |title= (caawin)
  44. ↑ https://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm
  45. ↑ 45.0 45.1 Statista https://de.statista.com/statistik/daten/studie/603802/umfrage/bruttoinlandsprodukt-in-den-metropolregionen-in-deutschland/. Soo qaatay 2018-06-16.  Maqan ama ebar |title= (caawin)
  46. ↑ Approx., 2013 est. / GDP of Prefecture of Osaka and Hyōgo is 60.0 trillion yen (approximately US$584 billion). Cabinet Office, Government of Japan. Retrieved 14 August 2016.
  47. ↑ 2010 est. / JPY 53,790 billion according to Urban Employment Area. . Center for Spatial Information Science, University of Tokyo http://www.csis.u-tokyo.ac.jp/UEA/uea_data_e.htm.  Maqan ama ebar |title= (caawin)
  48. ↑ Regional Accounts, 2014 – Statistics Norway. National GDP at 2,707.8 bn NOK, Oslo at 17.1 % of the total = 463 bn NOK x 0.16 = 74 bn USD.
  49. ↑ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a 2016 est. / INSEE] €681 billion according to INSEE, i.e. US$850 billion at current exchange rates, using the 2016 euro/dollar exchange rate
  50. ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine AUD 148,674 million according to the SGS Economics and Planning table, i.e. US$112.2 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
  51. ↑ "Nuqul Archive". Waxaa laga kaydiyay the original 2018-01-28. Soo qaatay 2018-07-20.  Barameter aan la aqoon |ciwaan= ignored (caawin)
  52. ↑ 2015 est. Statistics Korea Seoul metro area includes Incheon and Gyeonggi-do, so metro GDP = 328,661+69,501+350,963 = 749,125 billion Won, at 2015 average exchange rate of 1,179KRW per USD.
  53. ↑ 53.0 53.1 53.2 53.3 53.4 China Daily http://www.chinadaily.com.cn/a/201801/20/WS5a629e9ba3106e7dcc135729.html. Soo qaatay 2018-01-20.  Maqan ama ebar |title= (caawin)
  54. ↑ . ShanghaiDaily. 22 January 2009 http://www.shanghaidaily.com/sp/article/2009/200901/20090122/article_388901.htm. Soo qaatay 25 December 2009.  Maqan ama ebar |title= (caawin)
  55. ↑ http://m.scmp.com/news/china/economy/article/2128310/shenzhen-88-cent-hi-tech-growth-roll-hit-y2tr-2017
  56. ↑ . Statistics Singapore https://web.archive.org/web/20090221030353/http://www.singstat.gov.sg/stats/keyind.html. Waxaa laga kaydiyay the original 21 February 2009. Soo qaatay 3 February 2013.  Maqan ama ebar |title= (caawin)
  57. ↑ Singapore GDP in 2011 estimate is 326.8 Billion SGD, which is equivalent to 263.6 Billion USD using 3 February 2013 exchange rate
  58. ↑ "Nuqul Archive". CIA. Waxaa laga kaydiyay the original 7 Bisha Koobaad 2019. Soo qaatay 3 February 2013.  Barameter aan la aqoon |ciwaan= ignored (caawin); Hubi qiimaynta taariikhda: |archive-date= (caawin)
  59. ↑ 59.0 59.1 International.stockholm.se http://international.stockholm.se/Press-and-media/Stockholm-facts/. Soo qaatay 2017-04-01.  Maqan ama ebar |title= (caawin)
  60. ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine AUD 400,900 million according to the SGS Economics and Planning table, i.e. US$302.7 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
  61. ↑ 2009 est. Taipei city has second-highest per capita GDP in Asia Archived Sebteembar 10, 2011 // Wayback Machine Archived 22 Jannaayo 2013 at the Wayback Machine
  62. ↑ http://issuu.com/eas-estonia/docs/wtoe_harjumk?e=1268773/4868082#222222
  63. ↑ http://geostat.ge/index.php?action=page&p_id=119&lang=eng
  64. ↑ Approx., 2011 est. / Eurostat. Archived Abriil 16, 2010 // Wayback Machine Archived 6 Oktoobar 2014 at the Wayback Machine Retrieved 11 May 2017.
  65. ↑ http://data.stats.gov.cn http://data.stats.gov.cn/easyquery.htm?cn=E0105. Soo qaatay 2017-08-25.  Maqan ama ebar |title= (caawin); Link dheeraad |website= (caawin)
  66. ↑ http://www.toukei.metro.tokyo.jp/tnenkan/tn-eindex.htm
  67. ↑ (PDF). University of Toronto http://www.creativeclass.com/rfcgdb/articles/Global%20metropolis.pdf. Soo qaatay 1 March 2009.  Maqan ama ebar |title= (caawin)
  68. ↑ 2010 est. / JPY 157,820 billion according to Urban Employment Area. . Center for Spatial Information Science, University of Tokyo http://www.csis.u-tokyo.ac.jp/UEA/uea_data_e.htm.  Maqan ama ebar |title= (caawin)
  69. ↑ www1.toronto.ca (PDF) https://web.archive.org/web/20170929112630/https://www1.toronto.ca/static_files/economic_development_and_culture/docs/Economic%20indicators/economic_indicators.pdf. Waxaa laga kaydiyay the original (PDF) 29 September 2017. Soo qaatay 28 April 2017.  Maqan ama ebar |title= (caawin) Toronto CMA GDP was 334.1B CAD, converted at the average CAD/USD exchange rate of 1.104 for 2014.
  70. ↑ 2011 est., U.S. Metro Economies Archived Agoosto 13, 2012 // Wayback Machine Archived 13 Agoosto 2012 at the Wayback Machine by IHS Global Insight for The U.S. Conference of Mayors
  71. ↑ Osp.stat.gov.lt http://osp.stat.gov.lt/en/statistiniu-rodikliu-analize?id=8446&status=A. Soo qaatay 2017-04-01.  Maqan ama ebar |title= (caawin)


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