Liska Magaalooyinka GDP 2018

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

• 2018

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. (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. . 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. "Nuqul Archive". Waxaa laga kaydiyay the original 2018-06-19. Barameter aan la aqoon |ciwaan= ignored (caawin)
10. . 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. (PDF) http://www.demographia.com/db-metrogdp2005.pdf. Maqan ama ebar |title= (caawin)
12. 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. 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%5Bdead+link%5D
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. "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. 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. 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. 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)

1. This includes Rotterdam
2. This includes Malmö
3. This includes only Fukuoka
4. This includes Bradford
5. Projection for 2017 based on $33 billion in 2010 and $61 for 2025. ((($61/$33)^(1/15))^7)*$33= $43,956.998 million.
6. This includes Kyoto
7. This includes Southampton
8. This includes only Cologne and Bonn in the PwC study
9. This includes Amsterdam
10. This includes Portsmouth
11. This includes Bratislava