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Liska Magaalooyinka GDP 2018

Ka Wikipedia
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)
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  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)
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  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)
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  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)
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  26. https://www.lloyds.com/cityriskindex/locations/city/jerusalem
  27. https://osp.stat.gov.lt/statistiniu-rodikliu-analize?id=8,446&status=A#/
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  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
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  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, 2014Statistics 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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