List of cities by GRP

Below is a list of cities or agglomerations of the world according to GRP . Different studies used a different methodology, which was based mainly on forecasts or rough estimates, especially for cities in countries outside the OECD .

City / Agglomeration	A country	Region UN JV ^[1]	Official rating Face value GRP (billion USD)	Brookings Institution ^[2] GRP estimate 2014 in PPP (billion USD)	PwC ^[3] GRP estimate 2008 in PPP (billion USD)	McKinsey ^[4] Rating face value. GRP 2010 (billion USD)	Other ratings Face value GRP (billion USD)
Aberdeen	Great Britain	Northern Europe	11.3 (2008) ^[5]
Abidjan	Cote d'Ivoire	Africa			13
Abu Dhabi	UAE	West Asia	119 ^[6]	178.3		67.1
Addis Ababa	Ethiopia	Africa			12
Adelaide	Australia	Oceania	59.1 (2015–16) ^[7]	47.4
Akron (Ohio)	USA	North America	37.300 (2016) ^[8]	32.8
Alexandria	Egypt	Africa		32.4	46
Algeria	Algeria	Africa			45
Allentown (PA)	USA	North America	42,700 (2016) ^[8]	37.3
Alma-ata	Kazakhstan	East Asia		53.1
Albuquerque	USA	North America	43,250 (2016) ^[8]	39.9
Amsterdam	Netherlands	Western Europe	154.0 (2015) ^[9]	320.6 ^{[Footnote 1]}	47
Anapolis	Brazil	South America	6.740 (2011) ^[10]
Ankara	Turkey	West Asia		104.9	58	64.9
Anshan	China	East Asia		67.4
Arnhem - Nijmegen	Netherlands	Western Europe	27.9 (2016) ^[9]	44.4
Atlanta	USA	North America	385,542 (2017) ^[8]	294.4	304	249.7	242.4 ^[11]
Athens	Greece	Southern Europe	93.7 (2015) ^[9]	129.6	96
Aachen - Liege - Maastricht	Germany Belgium Netherlands	Western Europe		99.7
Ahmedabad	India	South asia			59	22
Baghdad	Iraq	West Asia			24
Basel - Mulhouse	Switzerland	Western Europe		56.2
Baltimore	USA	North America	192.178 (2017) ^[8]	173.7	137		118.1 ^[11]
Bangalore	India	South asia		45.1	69	28.6
Bangkok	Thailand	Southeast Asia		306.8	119	105.0
Bandung	Indonesia	Southeast Asia	20 (2017) ^[12]		21
Baotou	China	East Asia	40.8 (2017) ^[13]	94.1
Barcelona	Spain	Southern Europe	167.8 (2015) ^[9]	171.0	177
Baton rouge	USA	North America	51.149 (2014) ^[8]	53.5
Bakersfield	USA	North America	35.162 (2016) ^[8]	47.9
Belgrade	Serbia	Southern Europe	17.4 (2014) ^[14]
Belo Horizonte	Brazil	South America	54.996 (2011) ^[10]	84.7	61	78.5
Belfast	Great Britain	Northern Europe	25.5 (2015) ^[9]
Berlin	Germany	Western Europe	(2015) ^[15]	157.7	95
Bielefeld - Detmold	Germany	Western Europe		50.5
Bilbao	Spain	Southern Europe	36.9 (2015) ^[9]	38.5
Birmingham	Great Britain	Northern Europe	81.8 (2016) ^[9]	121.1	90
Birmingham (Alabama)	USA	North America	62,758 (2016) ^[8]	54.164
Bogota	Colombia	South America		159.9	100		221.1 (2015)
Bologna	Italy	Southern Europe	43.4 (2015) ^[9]	36.3
Bordeaux	France	Western Europe	55.9 (2015) ^[9]	40.2
Boston	USA	North America	438.684 (2017) ^[8]	360.1	363		261.1 ^[11]
Brasilia	Brazil	South America	164,482 (2011) ^[10]	141.9	110	101.6
Braunschweig - Wolfsburg	Germany	Western Europe		45.5
Bremen	Germany	Western Europe	30.4 (2015) ^[15]	47.9
Bridgeport	USA	North America	98,256 (2017) ^[8]	70.0
Brisbane	Australia	Oceania	120.6 (2015–16) ^[16]	96.6
Bristol	Great Britain	Northern Europe	51.5 (2016) ^[9]	47.7
Brussels	Belgium	Western Europe	144.359 (2016) ^[9]	254.3	83
Budapest	Hungary	Eastern Europe	58.5 (2016) ^[9]	98.0	53
Bursa (Turkey)	Turkey	West Asia		80.1
Buffalo	USA	North America	58,062 (2016) ^[8]	72.7
Bucharest	Romania	Eastern Europe	49.407 (2016) ^[9]	72.4
Buenos Aires	Argentina	South America		315.9	362	191.7
Valencia	Spain	Southern Europe	60.1 (2015) ^[9]	52.7
Vancouver	Canada	North America		109.8	95
Warsaw	Poland	Eastern Europe	100 (2017) ^[17]	141.1	68
Washington DC	USA	North America	529,990 (2017) ^[8]	442.2	375	392.2
Vein	Austria	Western Europe	131.9 (2015) ^[9]	183.7 ^{[Footnote 2]}	122
Venice - Padova	Italy	Southern Europe	62.2 (2015) ^[9]	57.3
Vilnius	Lithuania	Northern Europe	20.0 (2016) ^[18]
Winnipeg	Canada	North America		32.5
Virginia beach	USA	North America	94.855 (2017) ^[8]	92.1
Vitoria	Brazil	South America	28.357 (2011) ^[10]	35.6
Visakhapatnam	India	South asia		43.5		6
Worcester	USA	North America		44.7
Wenzhou	China	East Asia	80.8 (2017) ^[13]	101.9
Hamburg	Germany	Western Europe	120.1 (2015) ^[15]	161.4	74
Hanover	Germany	Western Europe	51.5 (2015) ^[15]	59.6
Kaohsiung	Republic of China	East Asia		113.647	78	28
Harrisburg	USA	North America	35.465 (2016) ^[8]	35.1
Guadalajara	Mexico	Central America		80.7	81
Gothenburg	Sweden	Northern Europe	84.4 (2016) ^[9]	40.0
Glasgow	Great Britain	Northern Europe	66.4 (2016) ^[9]	56.7
Hong Kong	Hong Kong	East Asia	364.8 (2018) ^[19]	416.0	320	224.5	258.0 ^[20]
Honolulu	USA	North America	64.756 (2016) ^[8]	58.6
Goiania	Brazil	South America	22.763 (2011) ^[10]
Grand rapids	USA	North America	58,465 (2016) ^[8]	51.6
Greenville (South Carolina)	USA	North America	40.693 (2016) ^[8]	35.6
Greensboro (North Carolina)	USA	North America	39.944 (2016) ^[8]	40.9
Guangzhou	China	East Asia	341 (2017) ^[13]	380.3	143	146.1
Dhaka	Bangladesh	South asia			78	29
Dallas - Fort Worth - Arlington	USA	North America	613.4 (2019) ^[21]	412.7	338	324.9	315.5 ^[11]
Dalian	China	East Asia	109.1 (2017) ^[13]	198.8		53.8
Dar es Salaam	Tanzania	Africa			8
Durham (North Carolina)	USA	North America	43.908 (2016) ^[8]	37.0
Daqing	China	East Asia	39.7 (2017) ^[13]	98.5
Des moines	USA	North America	50,246 (2016) ^[8]	39.5
Dayton	USA	North America	40.572 (2016) ^[8]	37.5
Delhi	India	South asia			167	47.6
Denver	USA	North America	208.868 (2017) ^[8]	169.7	165		131.6 ^[11]
Detroit	USA	North America	260.612 (2017) ^[8]	207.5	253		198.6 ^[11]
Jaipur	India	South asia			24	20
Jakarta	Indonesia	Southeast Asia	186 (2018) ^[22]	321.3	92	70.7
Jacksonville	USA	North America	71,471 (2016) ^[8]	63.8
Jeddah	Saudi Arabia	West Asia		160.6	72	75.9
Georgetown (Penang)	Malaysia	Southeast Asia		38.0
Doha	Qatar	West Asia				98.8
Dubai	UAE	West Asia		82.9
Dublin	Ireland	Northern Europe	127.8 (2015) ^[9]	90.1	61
Dongguan	China	East Asia	112.3 (2017) ^[13]	141.1		62.7
Dongying	China	East Asia	56.3 (2017) ^[13]	83.7
Durban	South Africa	Africa		48.9
Geneva	Switzerland	Western Europe		44.0
Jundiai	Brazil	South America	81000 20,081 (2011) ^[10]
Jerusalem	Israel	West Asia	48.0 (2015) ^[23]
Izmir	Turkey	West Asia		80.1	42
Indianapolis	USA	North America	143.873 (2017) ^[8]	113.606
Islamabad	Pakistan	South asia
East rand	South Africa	Africa		55.3	54
Johannesburg	South Africa	Africa		82.9	110
Kabul	Afghanistan	South asia			14
Kagoshima	Japan	East Asia		34.3
Cairo	Egypt	Africa		102.2	145
Calgary	Canada	North America		97.9
Calcutta	India	South asia		60.4	104
Campinas	Brazil	South America	40.525 (2011) ^[10]	59.3
Campo Grande	Brazil	South America	9.211 (2011) ^[10]
Campus dos goytakazis	Brazil	South America	16.174 (2011) ^[10]
Kansas City (Missouri)	USA	North America	131.092 (2017) ^[8]	105.9			91.2 ^[11]
Kano	Nigeria	Africa			9
Kanpur	India	South asia			26	4
Caracas	Venezuela	South America		51.8	41	92 ^[24]
Karachi	Pakistan	South asia			78	28
Cardiff - Newport	Great Britain	Northern Europe	33.7 (2016) ^[9]	36.0
Karlsruhe	Germany	Western Europe	37.6 (2015) ^[9]	137.1
Casablanca	Morocco	Africa		37.9	33
Katowice	Poland	Eastern Europe	37.9 (2015) ^[9]	122.3
Kaunas	Lithuania	Northern Europe	10.0 (2016) ^[25]
Gwangju	The Republic of Korea	East Asia		36.7
Quebec	Canada	North America		33.4
Cape town	South Africa	Africa		58.9	103
Cambridge	Great Britain	Northern Europe					18.6 ^[26]
Kiev	Ukraine	Eastern Europe	20 (2016) ^[27]
Kingston upon hull	Great Britain	Northern Europe	17.7 (2016) ^[9]
Kinshasa	DRC	Africa			17
Klaipeda	Lithuania	Northern Europe	6.0 (2016) ^[28]
Cleveland	USA	North America	138,980 (2017) ^[8]	115.1	112		99.3 ^[11]
Coventry	Great Britain	Northern Europe	7.4 (2008) ^[5]
Columbus (Ohio)	USA	North America	136,296 (2017) ^[8]	108.9
Colombia	USA	North America	40,086 (2016) ^[8]	37.2
Copenhagen	Denmark	Northern Europe	134.3 (2016) ^[9]	127.0 ^{[Footnote 3]}	49
Krakow	Poland	Eastern Europe	22.0 (2015) ^[9]	33.1
Kuala lumpur	Malaysia	Southeast Asia		171.8
Kumamoto	Japan	East Asia		41.8
Kunming	China	East Asia	72.0 (2017) ^[13]	88.6
Curitiba	Brazil	South America	58,082 (2011) ^[10]	57.7	44
Lagos	Nigeria	Africa	74.67 (2010) ^[29]		35
Lucknow	India	South asia			22
Las Vegas	USA	North America	112,288 (2017) ^[8]	93.9
Lahore	Pakistan	South asia			40	13
Leipzig - Halle	Germany	Western Europe	33.4 (2015) ^[9]	39.6
Leicester	Great Britain	Northern Europe	46.8 (2016) ^[9]				28.7 ^[30]
Liverpool	Great Britain	Northern Europe	47.8 (2016) ^[9]	65.8
Leeds	Great Britain	Northern Europe	44.8 (2016) ^[9]	74.6 ^{[Footnote 4]}	60
Lille	France	Western Europe	83.3 (2015) ^[9]	98.5	33
Lima	Peru	South America		176.5	109	77.3
Linz	Austria	Western Europe	37.9 (2015) ^[9]	44.6
Lyon	France	Western Europe	88.2 (2016) ^[9]	97.0	69		197 ^[31]
Lisbon	Portugal	Southern Europe	72.0 (2015) ^[9]	96.3	98
Little rock	USA	North America	37.796 (2016) ^[8]	40.7
London	Great Britain	Northern Europe	879.5 (2016) ^[9]	835.7	565	751.8
Los Angeles	USA	North America	1043.735 (2017) ^[32]		792	731.8	632.4 ^[11]
Luanda	Angola	Africa			33	38.6
Louisville	USA	North America	74.968 (2016) ^[8]	62,397
Luton	Great Britain	Northern Europe					7.2 ^[33]
Luxembourg - Trier	Luxembourg	Western Europe	62 (2014) ^[34]	62
Madison (Wisconsin)	USA	North America	47.425 (2016) ^[8]	41.8
Madrid	Spain	Southern Europe	225.9 (2015) ^[9]	262.3	230
Miami	USA	North America	344.882 (2016) ^[8]	262.7	292	235.9	231.8 ^[11]
Macau	Macau	East Asia	53.7 (2018) ^[35]	53.9
Manaus	Brazil	South America	51.025 (2011) ^[10]
Manila	Philippines	Southeast Asia		276.4	189
Manchester	Great Britain	Northern Europe	113.7 (2016) ^[9]	92.3	85
Marseilles	France	Western Europe	104.1 (2015) ^[9]	60.3
Medan	Indonesia	Southeast Asia	10 (2017) ^[36]				8.09 ^[37]
Medellin	Colombia	South America		43.5	50
Melbourne	Australia	Oceania	(2015–16) ^[38]	178.4	172	221.4
Memphis (Tennessee)	USA	North America	71,450 (2016) ^[8]	65.0
Mexico city	Mexico	Central America		403.6	390	255.1
Milan	Italy	Southern Europe	671.22 (2018) ^[9]	312.1	136
Milwaukee	USA	North America	105,427 (2017) ^[8]	86.5
Minneapolis - Saint Paul	USA	North America	260.106 (2017) ^[8]	211.4	194		171.6 ^[11]
Minsk	Belarus	Eastern Europe	13.0 (2012) ^[39]
Montreal	Canada	North America		155.9	148
Montevideo	Uruguay	South America					44.0 ^[40] ^{[Footnote 5]}
Monterrey	Mexico	Central America		122.9	102
Moscow	Russia	Eastern Europe	213.3 (2016) ^[41]	553.3	321	325.8
Mumbai	India	South asia		150.9	209	55.9
Munich	Germany	Western Europe	(2016) ^[9]	219.9	64
Nagoya	Japan	East Asia	368 (2013) ^[42]	363.8			256.3 ^[43]
Nagpur	India	South asia		18
Nairobi	Kenya	Africa			12
Nanking	China	East Asia	173.5 (2017)	202.7		68.5
Nantes	France	Western Europe	51.0 (2016) ^[9]	32.0
Nanning	China	East Asia	61.0 (2017) ^[13]	70.3
Nantong	China	East Asia	114.6 (2017) ^[13]	128.3
Nanchang	China	East Asia	74.1 (2017) ^[13]	96.0
Nashville	USA	North America	133,251 (2017) ^[8]	95.0
Naples	Italy	Southern Europe	62.8 (2015) ^[9]	85.5	51
Niigata	Japan	East Asia		50.3
Ningbo	China	East Asia	145.8 (2017) ^[13]	179.0		45.0
Nice	France	Western Europe	36.1 (2015) ^[9]	46.0
New Orleans	USA	North America	77.173 (2016) ^[8]	74.2
Knoxville	USA	North America	39.825 (2016) ^[8]	38.3
Nottingham - Derby	Great Britain	Northern Europe		51.0
New York	USA	North America	1717.712 (2017) ^[44]	1403	1406	180.300000 1180.3	1056.4 ^[11]
New Haven	USA	North America	44.120 (2016) ^[8]	53.3
Newcastle upon Tyne	Great Britain	Northern Europe	36.0 (2016) ^[9]	44.6
Nuremberg-Furth	Germany	Western Europe	164.6 (2014) ^[45]	74.5
Okayama	Japan	East Asia		56.8
Oklahoma city	USA	North America	70.235 (2016) ^[8]	70.010
Auckland (New Zealand)	New Zealand	Oceania		49.5	55
Oxnard	USA	North America	48.516 (2016) ^[8]	46.3
Albany (New York)	USA	North America	52,339 (2016) ^[8]
Omaha	USA	North America	61.289 (2016) ^[8]	51.2
Orlando	USA	North America	132,448 (2017) ^[8]	116.2
Osaka Kobe	Japan	East Asia	681 (2015) ^[46]	671.3 ^{[Footnote 6]}	417		612.8 ^[47]
Oslo	Norway	Northern Europe	74.0 (2014) ^[48]	74.4	40
Austin (Texas)	USA	North America	148,750 (2017) ^[8]	107.4
Ottawa	Canada	North America		58.2
Paris	France	Western Europe	850 (2016) ^[49]	715.1	564
Patna	India	South asia		15	11
Beijing	China	East Asia	441.4 (2017) ^[50]	506.1	166	206.2
Perth	Australia	Oceania	112.2 (2015–16) ^[51]	134.0
Pittsburgh	USA	North America	147.367 (2017) ^[8]	138.4	99		102.1 ^[11]
Portland (Oregon)	USA	North America	171.772 (2017) ^[8]	158.5	110		95.6 ^[11]
Portsmouth	Great Britain	Northern Europe	25.9 (2016) ^[9]	51.6 ^{[Footnote 7]}
Porto	Portugal	Southern Europe	31.3 (2015) ^[9]	43.0
Porto Alegre	Brazil	South America	45,50606 (2011) ^[10]	62.1	66
Prague	Czech	Eastern Europe	73.0 (2016) ^[9]	89.2	49
Pretoria	South Africa	Africa		49.9
Providence	USA	North America	80,164 (2016) ^[8]	78.114
Pune	India	South asia	138	89	78	49
Busan	The Republic of Korea	East Asia		296.5	121
Puebla	Mexico	Central America		38.1	42
Pyongyang	DPRK	East Asia			11
Rhine Ruhr	Germany	Western Europe	350.30 (2014) ^[45]	485.2	39 ^{[Footnote 8]}	484.6
Recife	Brazil	South America	36.448 (2011) ^[10]	40.5	35
Riga	Latvia	Northern Europe	16.0 (2014) ^[52]
Rome	Italy	Southern Europe	(2015) ^[9]	163.2	144
Rio de Janeiro	Brazil	South America	209.366 (2011) ^[10]	176.6	201	180.9
Richmond	USA	North America	80,702 (2016) ^[8]	71.589
Roles	USA	North America	83,288 (2017) ^[8]	64.4
Rotterdam	Netherlands	Western Europe	69.0 (2015) ^[9]	320.6 ^{[Footnote 9]}	46
Rochester (New York)	USA	North America	55.426 (2016) ^[8]	67.8
Saarbrücken	Germany	Western Europe		41.7
Sacramento (California)	USA	North America	126.352 (2017) ^[8]	127.4
Salvador	Brazil	South America	38.819 (2011) ^[10]	38.5	10
Thessaloniki	Greece	Southern Europe	19.8 (2011) ^[53]
San antonio	USA	North America	129,298 (2017) ^[8]	102.771			146.3 ^[11]
San Bernardino - Riverside	USA	North America	157.931 (2017) ^[8]	154.904
San diego	USA	North America	231.845 (2017) ^[8]	202.5	191	172.9	146.3 ^[11]
Sao josé dos campus	Brazil	South America	30.148 (2011) ^[10]
Sao josé dos pinhais	Brazil	South America	14.726 (2011) ^[10]
Sao paulo	Brazil	South America	582.079 (2013) ^[10]	430.5	388	437.3
San Francisco	USA	North America	500,710 (2017) ^[8]	331.0	301	283.3	268.3 ^[11]
San Jose (California)	USA	North America	275,293 (2017) ^[8]	160.3
San Juan (Puerto Rico)	Puerto rico	Caribbean		42.7
St. Petersburg	Russia	Eastern Europe	55.5 (2016) ^[41]	119.6	91
Santos	Brazil	South America	28.609 (2011) ^[10]
Santiago	Chile	South America		171.4	120	93.0
Sapporo	Japan	East Asia		80.5
Southampton	Great Britain	Northern Europe	9.6 (2016) ^[9]	51.6 ^{[Footnote 10]}
Seville	Spain	Southern Europe	39.8 (2015) ^[9]	35.8
Sendai	Japan	East Asia		75.3
St louis	USA	North America	161.281 (2017) ^[8]	140.6	126		116.2 ^[11]
Seoul	The Republic of Korea	East Asia	(2015) ^[54]	845.9	291	233.3
Xi'an	China	East Asia	110.6 (2017) ^[13]	124.2	31	40.6
Shizuoka	Japan	East Asia
Sydney	Australia	Oceania	302.7 (2015–16) ^[55]	223.4	213	268.9
Singapore	Singapore	Southeast Asia	349.5 (2018) ^[56] ^[57]	365.9	215	222.7	267.9 ^[58]
Hsinchu	Republic of China	East Asia		38.4
Syracuse	USA	North America	32.683 (2016) ^[8]	40.6
Seattle	USA	North America	356.572 (2017) ^[8]	267.5	235	211.0	182.2 ^[11]
Salt Lake City	USA	North America	87.801 (2017) ^[8]	73.836
Sorocaba	Brazil	South America	21.313 (2011) ^[10]
Sofia	Bulgaria	Eastern Europe	24.0 (2016) ^[9]	43.8
Springfield (Massachusetts)	USA	North America	27.333 (2016) ^[8]	32.8
Istanbul	Turkey	West Asia		348.7	182	188.2
Stockholm	Sweden	Northern Europe	180 ^[59]	143.0	70		208 ^[59]
Strasbourg	France	Western Europe		37.3
Surabaya	Indonesia	Southeast Asia	70 (2016) ^[60]				102 (2016) ^[61]
Surat	India	South asia		59.8	36	14
Suzhou (Jiangsu)	China	East Asia	256.5 (2017) ^[13]	339.0		52.7
Xuzhou	China	East Asia	97.8 (2017) ^[13]	113.2		22.4
Amoy	China	East Asia	64.4 (2017) ^[13]	76.1		30.4
Taipei	Republic of China	East Asia		327.3		160.3	172.5 ^[62]
Tainan	Republic of China	East Asia		76.7
Taichung	Republic of China	East Asia		114.7
Taiyuan	China	East Asia		63.0
Tallinn	Estonia	Northern Europe	16.0 (2014) ^[63]
Tulsa	USA	North America	58,248 (2016) ^[8]	48.6			46.4 ^[64]
Tampa	USA	North America	146.349 (2017) ^[8]	130.3	123		101 ^[11]
Tangshan	China	East Asia	105.3 (2017) ^[65]	162.3		33.6
Taoyuan	Republic of China	East Asia		86.8
Tbilisi	Georgia	West Asia	8.0 (2017) ^[66]
Tehran	Iran	South asia			127
Tel Aviv	Israel	West Asia		153.3	122	114.8
Tokyo	Japan	East Asia	1893 (2015) ^[67]	1617	1479	1874.7	1997.5 ^[68] 1797.9 ^[69]
Toronto	Canada	North America	303 (2014) ^[70]	276.3	253	270.0
Toulouse	France	Western Europe	58.7 (2015) ^[9]	47.4
Turin	Italy	Southern Europe	76.9 (2015) ^[9]	78.8	68
Tucson	USA	North America	37,040 (2016) ^[8]	41.2
Daegu	The Republic of Korea	East Asia		54.5	43
Daejeon	The Republic of Korea	East Asia		39.6
Tianjin	China	East Asia	275.4 (2017) ^[71]	372.0	74	128.8
Uberlandia	Brazil	South America	14.728 (2011) ^[10]
Urumqi	China	East Asia		59.6
Wuxi	China	East Asia	155.7 (2017) ^[13]	211.5		47.0
Wuhan	China	East Asia	198.6 (2017) ^[13]	231.6	52	82.2
Faisalabad	Pakistan	South asia		20.55 ^[72]	14
Philadelphia	USA	North America	444.975 (2017) ^[8]	346.5	388	314.5	295.2 ^[11]
Phoenix	USA	North America	242.951 (2017) ^[8]	207.1	200	181.6	160 ^[11]
Florence	Italy	Southern Europe	40.1 (2015) ^[9]	52.5
Fortaleza	Brazil	South America	42,010 (2011) ^[10]	35.2	25
Foshan	China	East Asia	141.4 (2017) ^[13]	184.5		83.5
Frankfurt am Main	Germany	Western Europe		230.0
Fresno	USA	North America	40,465 (2016) ^[8]	45.5
Fukuoka - Kitakyushu	Japan	East Asia	185 (2013) ^[73]	193.3	88 ^{[Footnote 11]}		157.3 ^[74]
Fuzhou	China	East Asia	105.2 (2017) ^[13]	117.4		23.4
Hyderabad (India)	India	South asia		40.2	59
Haifa	Israel	West Asia		40.4
Hamamatsu	Japan	East Asia		52.3
Hanoi	Vietnam	Southeast Asia			42
Huntsville (Alabama)	USA	North America	24.846 (2016) ^[8]
Hangzhou	China	East Asia	150.8 (2015) ^[75]	219.5		70.5
Harbin	China	East Asia	94.1 (2017) ^[13]	127.9		38.8
Khartoum	Sudan	Africa			35
Hartford	USA	North America	90,318 (2017) ^[8]	101.2
Helsinki	Finland	Northern Europe	90.8 (2015) ^[9]	77.1	58
Hiroshima	Japan	East Asia		74.9
Ho Chi Minh City	Vietnam	Southeast Asia		71.1	58
Hohhot	China	East Asia		70.1
Houston	USA	North America	490,074 (2017) ^[8]	483.2	297	341.1	316.3 ^[11]
Hefei	China	East Asia	106.8 (2017) ^[13]	120.9		31.2
Jinan	China	East Asia	106.7 (2017) ^[13]	136.8		43.2
Zibo	China	East Asia	70.8 (2017) ^[13]	100.3
Qingdao	China	East Asia	163.5 (2017) ^[13]	208.7		48.1
Cincinnati	USA	North America	138.034 (2017) ^[8]	110.9
Zurich	Switzerland	Western Europe		109.1	52
Changzhou	China	East Asia	98.1 (2017) ^[13]	110.9		34.3
Changchun	China	East Asia	96.7 (2017) ^[13]	124.5	26
Changsha	China	East Asia	(2017) ^[13]	186.4		40.3
Chennai	India	South asia		58.6	66
Zhongshan	China	East Asia	51.1 (2017) ^[13]	68.7
Zhuhai	China	East Asia	38.0 (2017) ^[13]	41.3
Zhengzhou	China	East Asia	135.3 (2017) ^[13]
Chicago	USA	North America	679.699 (2017) ^[8]	563.2	574	496.4	461.4 ^[11]
Chittagong	Bangladesh	South asia			24
Chongqing	China	East Asia	288.8 (2017) ^[13]	315.6	57	88.6
Chengdu	China	East Asia	205.7 (2017) ^[76]	233.5	33	57.8
Shanghai	China	East Asia	469 (2017) ^[65]	594.0	233	250.7	200.0 ^[77]
Shantou	China	East Asia	34.8 (2017) ^[65]	38.7
Charlotte (North Carolina)	USA	North America	174.029 (2017) ^[8]	126.2
Sheffield	Great Britain	Northern Europe	17.4 (2016) ^[9]	39.8
Shijiazhuang	China	East Asia	95.7 (2017) ^[65]	130.5
Stuttgart	Germany	Western Europe	173.5 (2016) ^[9]	157.8
Shenzhen	China	East Asia	338 (2017) ^[78]	363.2		141.5
Shenyang	China	East Asia	86.9 (2017) ^[65]	189.3	44	64.3
Edinburgh	Great Britain	Northern Europe	41.8 (2016) ^[9]	32.5
Edmonton	Canada	North America		83.0
Eindhoven - Hertogenbosch	Netherlands	Western Europe		91.5
Kuwait	Kuwait	West Asia		166.5		117.5
El Paso (Texas)	USA	North America	28.644 (2016) ^[8]	32.7
Riyadh	Saudi Arabia	West Asia		163.5	107	122.7
Yangon	Myanmar	Southeast Asia			24
Yantai	China	East Asia	108.7 (2017) ^[13]	149.0

Footnotes

↑ Including Rotterdam
↑ Including Bratislava
↑ Including Malmö
↑ Including Bradford
↑ 2017 estimate based on $ 33 billion in 2010 and $ 61 billion in 2025 (((61 billion / 33 billion) ^ (1/15)) ^ 7) * 33 billion = $ 43,956.998 million
↑ Including Kyoto
↑ Including Southampton
↑ Includes only Cologne and Bonn in the PwC study
↑ Including Amsterdam
↑ Including Portsmouth
↑ Including only Fukuoka

Notes

↑ Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings (neopr.) . United Nations. Date of treatment October 23, 2012.
↑ Global city GDP 2014 (neopr.) . Brookings Institution . Date of treatment May 8, 2015.
↑ Global city GDP rankings 2008-2025 (neopr.) (Unavailable link) . Pricewaterhouse Coopers. Date of treatment December 16, 2009. Archived on May 4, 2011.
↑ The Most Dynamic Cities of 2025 (neopr.) . Foreign policy Date of treatment August 24, 2012.
↑ ¹ ² 2008 estimate (unopened) (xls). Office for National Statistics (March 6, 2012). Date of treatment August 13, 2013.
↑ Abu Dhabi Economic Report (Neopr.) (PDF).
↑ 2015–16 est. / SGSEP 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
↑ ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² ²³ ²⁴ ²⁵ ²⁶ ²⁷ ²⁸ ²⁹ ³⁰ ³¹ ³² ³³ ³⁴ ³⁵ ³⁶ ³⁷ ³⁸ ³⁹ ⁴⁰ ⁴¹ ⁴² ⁴³ ⁴⁴ ⁴⁵ ⁴⁶ ⁴⁷ ⁴⁸ ⁴⁹ ⁵⁰ ⁵¹ ⁵² ⁵³ ⁵⁴ ⁵⁵ ⁵⁶ ⁵⁷ ⁵⁸ ⁵⁹ ⁶⁰ ⁶¹ ⁶² ⁶³ ⁶⁴ ⁶⁵ ⁶⁶ ⁶⁷ ⁶⁸ ⁶⁹ ⁷⁰ ⁷¹ ⁷² ⁷³ ⁷⁴ ⁷⁵ ⁷⁶ ⁷⁷ Gross Domestic Product by Metropolitan Area, 2016 (neopr.) . Bureau of Economic Analysis. US Department of Commerce (September 20, 2017). Date of treatment February 19, 2018.
↑ ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² ²³ ²⁴ ²⁵ ²⁶ ²⁷ ²⁸ ²⁹ ³⁰ ³¹ ³² ³³ ³⁴ ³⁵ ³⁶ ³⁷ ³⁸ ³⁹ ⁴⁰ ⁴¹ ⁴² ⁴³ ⁴⁴ ⁴⁵ ⁴⁶ ⁴⁷ ⁴⁸ ⁴⁹ ⁵⁰ ⁵¹ ⁵² ⁵³ ⁵⁴ ⁵⁵ ⁵⁶ ⁵⁷ ⁵⁸ Eurostat (neopr.) .
↑ ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² Posição ocupada pelos maiores municípios brasileiros em relação ao Produto Interno Bruto, Est. 2013 (neopr.) . IBGE (2013). Archived February 19, 2016.
↑ ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² ²³ ²⁴ 2005 est. / Metropolitan Area G (Neopr.) .
↑ PDRB kota Bandung atas dasar harga konstan 2010 menurut lapangan usaha juta rupiah 2010-2017 (neopr.) . bandungkota.bps.go.id . Date of treatment February 28, 2019.
↑ ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² ²³ ²⁴ ²⁵ ²⁶ ²⁷ ²⁸ ²⁹ ³⁰ ³¹ ³² ³³ National Bureau of Statistics of China (Neopr.) . data.stats.gov.cn . Date of treatment August 25, 2017.
↑ 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.
↑ ¹ ² ³ ⁴ Baden-Württemberg, Statistisches Landesamt Aktuelle Ergebnisse - VGR dL (German) . www.statistik-bw.de . Date of appeal June 16, 2018.
↑ 2015–16 est. / SGSEP 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
↑ https://ec.europa.eu/eurostat/documents/2995521/9618249/1-26022019-AP-EN.pdf/f765d183-c3d2-4e2f-9256-cc6665909c80
↑ Statistinių rodiklių analizė (neopr.) . Osp.stat.gov.lt. Date of treatment April 1, 2017.
↑ Hong Kong (unopened) . International Monetary Fund . Date of treatment August 25, 2017.
↑ 2012 est. / CIA World Factbook: Hong Kong (Neopr.) . CIA. Date of treatment February 3, 2013. Archived on May 14, 2009.
↑ http://www.usmayors.org/wp-content/uploads/2018/06/Metro-Economies-GMP-June-2018.pdf
↑ BPS Provinsi DKI Jakarta (neopr.) . jakarta.bps.go.id . Date of treatment February 28, 2019.
↑ Archived copy (unopened) (inaccessible link) . Date of treatment March 3, 2019. Archived on October 6, 2015.
↑ Global cities of the future: An interactive map | McKinsey & Company , mckinsey.com .
↑ https://osp.stat.gov.lt/statistiniu-rodikliu-analize?id=8,446&status=A#/
↑ Booming city adding £ 12 billion to GDP (neopr.) . Cambridge News. Date of treatment August 11, 2008. Archived November 25, 2011.
↑ http://kiev.ukrstat.gov.ua/p.php3?c=255&lang=1
↑ Statistinių rodiklių analizė (neopr.) . Osp.stat.gov.lt. Date of treatment April 1, 2017.
↑ Lagos Gross Domestic Product (neopr.) . Lagos State Government (2010). Date of treatment March 16, 2015. Archived April 25, 2015.
↑ Leicester (neopr.) . Leicester and Leicestershire Enterprise Partnership (Autumn 2009). - "/ catid / 22 / LLEP ". Archived on August 13, 2013.
↑ GDP of Lyon (neopr.) . Insee (October 2014). - "/ catid / 22 / LLEP ".
↑ https://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm
↑ GDP (neopr.) . Timetric (January 1, 2010).
↑ http://www.brookings.edu/research/global-metro-monitor/
↑ Macau (neopr.) . International Monetary Fund . Date of treatment August 25, 2017.
↑ Seri 2010 PDRB kota Medan atas dasar harga konstan 2010 menurut pengeluaran jua rupiah 2010-2017 (neopr.) . medankota.bps.go.id . Date of treatment February 28, 2019.
↑ Pemerintah Provinsi Sumatera Utara - Perekonomian Daerah (Neopr.) . Sumutprov.go.id . Date of treatment April 1, 2017.
↑ 2015–16 est. / SGSEP 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
↑ http://www.belstat.gov.by/bitrix/urlrewrite.php (inaccessible link)
↑ Global Cities of the Future (Neopr.) . McKinsey. Date of treatment January 19, 2016.
↑ ¹ ² Gross regional product :: Mordoviyastat (neopr.) . Mrd.gks.ru. Date of treatment March 3, 2019.
↑ Approx., 2013 est. / GDP of Aichi Prefecture is 37.8 trillion yen (approximately US $ 368 billion). Cabinet Office, Government of Japan. Retrieved August 14, 2016.
↑ 2010 est. / JPY 22.497 billion according to Urban Employment Area . Metropolitan Employment Area (MEA) Data (neopr.) . Center for Spatial Information Science, University of Tokyo .
↑ https://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm
↑ ¹ ² Bruttoinlandsprodukt in den Metropolregionen in Deutschland 2014 | Statistik (German) . Statista Date of appeal June 16, 2018.
↑ Keihanshin , 2019-01-29 , < https://en.wikipedia.org/w/index.php?title=Keihanshin&oldid=880805346 > . Retrieved February 23, 2019.
↑ 2010 est. / JPY 53.790 billion according to Urban Employment Area . Metropolitan Employment Area (MEA) Data (neopr.) . Center for Spatial Information Science, University of Tokyo .
↑ 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.
↑ 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, ie US $ 850 billion at current exchange rates, using the 2016 euro / dollar exchange rate
↑ 北京市 2017 年国民经济和社会发展统计公报 (unspecified) . bjstats.gov.cn . Date of treatment March 18, 2018.
↑ 2015–16 est. / SGSEP 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
↑ http://www.sus.lv/en/21-gross-domestic-product
↑ Approx., 2011 est. / Eurostat. Archived on October 6, 2014. Retrieved May 11, 2017.
↑ 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.
↑ 2015–16 est. / SGSEP 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
↑ 2011 est. / Singapore: Economic Indicators (neopr.) . Statistics Singapore. Date of treatment February 3, 2013. Archived February 21, 2009.
↑ Singapore GDP in 2011 estimate is 326.8 Billion SGD, which is equivalent to 263.6 Billion USD using 3 February 2013 exchange rate
↑ 2012 est. / CIA World Factbook: Singapore (Neopr.) . CIA. Date of treatment February 3, 2013.
↑ ¹ ² Contacts - City of Stockholm (Neopr.) . International.stockholm.se . Date of treatment April 1, 2017.
↑ East Java BPS, Statistics Indonesia Surabaya Urban Area (Surabaya + Gresik + Sidoarjo) (indon.) (Unavailable link) . jatim.bps.go.id . Date of treatment March 3, 2019. Archived on February 28, 2019.
↑ East Java BPS, Statistics Indonesia Gerbangkertosusila - Surabaya Metropolitan Area (Gresik + Bangkalan + Mojokerto city and regency + Surabaya + Sidoarjo + Lamongan) (indonesia) (link not available) . jatim.bps.go.id . Date of treatment March 3, 2019. Archived on February 28, 2019.
↑ 2009 est. Taipei city has second-highest per capita GDP in Asia Archived January 22, 2013.
↑ http://issuu.com/eas-estonia/docs/wtoe_harjumk?e=1268773/4868082#222222
↑ 2011 est. , US Metro Economies Archived August 13, 2012. by IHS Global Insight for The US Conference of Mayors
↑ ¹ ² ³ ⁴ ⁵ Shanghai first Chinese city to top 3 trillion yuan GDP (unopened) . China Daily . Date of treatment January 20, 2018.
↑ http://geostat.ge/index.php?action=page&p_id=119&lang=eng
↑ http://www.toukei.metro.tokyo.jp/tnenkan/tn-eindex.htm
↑ 2009 est. / World's Largest Metropolitan Regions by LRP (neopr.) . University of Toronto. Date of treatment March 1, 2009.
↑ 2010 est. / JPY 157.820 billion according to Urban Employment Area . Metropolitan Employment Area (MEA) Data (neopr.) . Center for Spatial Information Science, University of Tokyo .
↑ Economic Indicators (neopr.) . www1.toronto.ca . Date of treatment April 28, 2017. Archived September 29, 2017. Toronto CMA GDP was 334.1B CAD, converted at the average CAD / USD exchange rate of 1.104 for 2014.
↑ National Bureau of Statistics of China (Neopr.) . http://data.stats.gov.cn . Date of treatment August 25, 2017.
↑ Punjab At A Glance (unopened) (inaccessible link) . Punjab Board of Investment & Trade, Government of The Punjab (2016). Date of treatment April 15, 2017. Archived on April 16, 2017.
↑ Approx., 2013 est. / GDP of Fukuoka Prefecture is 19.0 trillion yen (approximately US $ 185 billion). Cabinet Office, Government of Japan. Retrieved August 14, 2016.
↑ 2010 est. / JPY 13.811 billion according to Urban Employment Area . Metropolitan Employment Area (MEA) Data (neopr.) . Center for Spatial Information Science ( University of Tokyo ).
↑ National Bureau of Statistics of China (Neopr.) . data.stats.gov.cn . Date of treatment August 25, 2017.
↑ National Bureau of Statistics of China (Neopr.) . data.stats.gov.cn . Date of treatment August 25, 2017.
↑ 2008 est. / Global woes pinch rise in city GDP (neopr.) . ShanghaiDaily (January 22, 2009). Date of treatment December 25, 2009.
↑ http://m.scmp.com/news/china/economy/article/2128310/shenzhen-88-cent-hi-tech-growth-roll-hit-y2tr-2017

[10] Including Rotterdam

[19] Including Bratislava

[31] Including Malmö

[34] Including Bradford

[45] 2017 estimate based on $ 33 billion in 2010 and $ 61 billion in 2025 (((61 billion / 33 billion) ^ (1/15)) ^ 7) * 33 billion = $ 43,956.998 million

[52] Including Kyoto

[58] Including Southampton

[59] Includes only Cologne and Bonn in the PwC study

[61] Including Amsterdam

[63] Including Portsmouth

[84] Including only Fukuoka

[1] Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings (neopr.) . United Nations. Date of treatment October 23, 2012.

[Brookings-2] Global city GDP 2014 (neopr.) . Brookings Institution . Date of treatment May 8, 2015.

[pricewater-3] Global city GDP rankings 2008-2025 (neopr.) (Unavailable link) . Pricewaterhouse Coopers. Date of treatment December 16, 2009. Archived on May 4, 2011.

[McKinsey-4] The Most Dynamic Cities of 2025 (neopr.) . Foreign policy Date of treatment August 24, 2012.

[2008_estimate-5] ¹ ² 2008 estimate (unopened) (xls). Office for National Statistics (March 6, 2012). Date of treatment August 13, 2013.

[2012_estimate_abu_dhabi-6] Abu Dhabi Economic Report (Neopr.) (PDF).

[7] 2015–16 est. / SGSEP 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

[usa1-8] ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² ²³ ²⁴ ²⁵ ²⁶ ²⁷ ²⁸ ²⁹ ³⁰ ³¹ ³² ³³ ³⁴ ³⁵ ³⁶ ³⁷ ³⁸ ³⁹ ⁴⁰ ⁴¹ ⁴² ⁴³ ⁴⁴ ⁴⁵ ⁴⁶ ⁴⁷ ⁴⁸ ⁴⁹ ⁵⁰ ⁵¹ ⁵² ⁵³ ⁵⁴ ⁵⁵ ⁵⁶ ⁵⁷ ⁵⁸ ⁵⁹ ⁶⁰ ⁶¹ ⁶² ⁶³ ⁶⁴ ⁶⁵ ⁶⁶ ⁶⁷ ⁶⁸ ⁶⁹ ⁷⁰ ⁷¹ ⁷² ⁷³ ⁷⁴ ⁷⁵ ⁷⁶ ⁷⁷ Gross Domestic Product by Metropolitan Area, 2016 (neopr.) . Bureau of Economic Analysis. US Department of Commerce (September 20, 2017). Date of treatment February 19, 2018.

[:4-9] ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² ²³ ²⁴ ²⁵ ²⁶ ²⁷ ²⁸ ²⁹ ³⁰ ³¹ ³² ³³ ³⁴ ³⁵ ³⁶ ³⁷ ³⁸ ³⁹ ⁴⁰ ⁴¹ ⁴² ⁴³ ⁴⁴ ⁴⁵ ⁴⁶ ⁴⁷ ⁴⁸ ⁴⁹ ⁵⁰ ⁵¹ ⁵² ⁵³ ⁵⁴ ⁵⁵ ⁵⁶ ⁵⁷ ⁵⁸ Eurostat (neopr.) .

[bra1-11] ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² Posição ocupada pelos maiores municípios brasileiros em relação ao Produto Interno Bruto, Est. 2013 (neopr.) . IBGE (2013). Archived February 19, 2016.

[demographia-12] ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² ²³ ²⁴ 2005 est. / Metropolitan Area G (Neopr.) .

[13] PDRB kota Bandung atas dasar harga konstan 2010 menurut lapangan usaha juta rupiah 2010-2017 (neopr.) . bandungkota.bps.go.id . Date of treatment February 28, 2019.

[ReferenceA-14] ¹ ² ³ ⁴ ⁵ ⁶ ⁷ ⁸ ⁹ ¹⁰ ¹¹ ¹² ¹³ ¹⁴ ¹⁵ ¹⁶ ¹⁷ ¹⁸ ¹⁹ ²⁰ ²¹ ²² ²³ ²⁴ ²⁵ ²⁶ ²⁷ ²⁸ ²⁹ ³⁰ ³¹ ³² ³³ National Bureau of Statistics of China (Neopr.) . data.stats.gov.cn . Date of treatment August 25, 2017.

[15] 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.

[:1-16] ¹ ² ³ ⁴ Baden-Württemberg, Statistisches Landesamt Aktuelle Ergebnisse - VGR dL (German) . www.statistik-bw.de . Date of appeal June 16, 2018.

[17] 2015–16 est. / SGSEP 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

[18] ttps://ec.europa.eu/eurostat/documents/2995521/9618249/1-26022019-AP-EN.pdf/f765d183-c3d2-4e2f-9256-cc6665909c80

[20] Statistinių rodiklių analizė (neopr.) . Osp.stat.gov.lt. Date of treatment April 1, 2017.

[imf2-21] Hong Kong (unopened) . International Monetary Fund . Date of treatment August 25, 2017.

[22] 2012 est. / CIA World Factbook: Hong Kong (Neopr.) . CIA. Date of treatment February 3, 2013. Archived on May 14, 2009.

[23] ttp://www.usmayors.org/wp-content/uploads/2018/06/Metro-Economies-GMP-June-2018.pdf

[24] BPS Provinsi DKI Jakarta (neopr.) . jakarta.bps.go.id . Date of treatment February 28, 2019.

[25] Archived copy (unopened) (inaccessible link) . Date of treatment March 3, 2019. Archived on October 6, 2015.

[26] Global cities of the future: An interactive map | McKinsey & Company , mckinsey.com .

[27] ttps://osp.stat.gov.lt/statistiniu-rodikliu-analize?id=8,446&status=A#/

[28] Booming city adding £ 12 billion to GDP (neopr.) . Cambridge News. Date of treatment August 11, 2008. Archived November 25, 2011.

[29] ttp://kiev.ukrstat.gov.ua/p.php3?c=255&lang=1

[30] Statistinių rodiklių analizė (neopr.) . Osp.stat.gov.lt. Date of treatment April 1, 2017.

[32] Lagos Gross Domestic Product (neopr.) . Lagos State Government (2010). Date of treatment March 16, 2015. Archived April 25, 2015.

[33] Leicester (neopr.) . Leicester and Leicestershire Enterprise Partnership (Autumn 2009). - "/ catid / 22 / LLEP ". Archived on August 13, 2013.

[35] GDP of Lyon (neopr.) . Insee (October 2014). - "/ catid / 22 / LLEP ".

[36] ttps://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm

[37] GDP (neopr.) . Timetric (January 1, 2010).

[38] ttp://www.brookings.edu/research/global-metro-monitor/

[imf3-39] Macau (neopr.) . International Monetary Fund . Date of treatment August 25, 2017.

[40] Seri 2010 PDRB kota Medan atas dasar harga konstan 2010 menurut pengeluaran jua rupiah 2010-2017 (neopr.) . medankota.bps.go.id . Date of treatment February 28, 2019.

[41] Pemerintah Provinsi Sumatera Utara - Perekonomian Daerah (Neopr.) . Sumutprov.go.id . Date of treatment April 1, 2017.

[42] 2015–16 est. / SGSEP 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

[43] ttp://www.belstat.gov.by/bitrix/urlrewrite.php (inaccessible link)

[44] Global Cities of the Future (Neopr.) . McKinsey. Date of treatment January 19, 2016.

[autogenerated1-46] ¹ ² Gross regional product :: Mordoviyastat (neopr.) . Mrd.gks.ru. Date of treatment March 3, 2019.

[47] Approx., 2013 est. / GDP of Aichi Prefecture is 37.8 trillion yen (approximately US $ 368 billion). Cabinet Office, Government of Japan. Retrieved August 14, 2016.

[48] 2010 est. / JPY 22.497 billion according to Urban Employment Area . Metropolitan Employment Area (MEA) Data (neopr.) . Center for Spatial Information Science, University of Tokyo .

[49] ttps://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm

[:2-50] ¹ ² Bruttoinlandsprodukt in den Metropolregionen in Deutschland 2014 | Statistik (German) . Statista Date of appeal June 16, 2018.

[51] Keihanshin , 2019-01-29 , < https://en.wikipedia.org/w/index.php?title=Keihanshin&oldid=880805346 > . Retrieved February 23, 2019.

[53] 2010 est. / JPY 53.790 billion according to Urban Employment Area . Metropolitan Employment Area (MEA) Data (neopr.) . Center for Spatial Information Science, University of Tokyo .

[54] 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.

[55] ttp://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a 2016 est. / INSEE] € 681 billion according to INSEE, ie US $ 850 billion at current exchange rates, using the 2016 euro / dollar exchange rate

[56] 北京市 2017 年国民经济和社会发展统计公报 (unspecified) . bjstats.gov.cn . Date of treatment March 18, 2018.

[57] 2015–16 est. / SGSEP 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

[60] ttp://www.sus.lv/en/21-gross-domestic-product

[62] Approx., 2011 est. / Eurostat. Archived on October 6, 2014. Retrieved May 11, 2017.

[64] 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.

[65] 2015–16 est. / SGSEP 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

[66] 2011 est. / Singapore: Economic Indicators (neopr.) . Statistics Singapore. Date of treatment February 3, 2013. Archived February 21, 2009.

[67] Singapore GDP in 2011 estimate is 326.8 Billion SGD, which is equivalent to 263.6 Billion USD using 3 February 2013 exchange rate

[68] 2012 est. / CIA World Factbook: Singapore (Neopr.) . CIA. Date of treatment February 3, 2013.

[:3-69] ¹ ² Contacts - City of Stockholm (Neopr.) . International.stockholm.se . Date of treatment April 1, 2017.

[70] East Java BPS, Statistics Indonesia Surabaya Urban Area (Surabaya + Gresik + Sidoarjo) (indon.) (Unavailable link) . jatim.bps.go.id . Date of treatment March 3, 2019. Archived on February 28, 2019.

[71] East Java BPS, Statistics Indonesia Gerbangkertosusila - Surabaya Metropolitan Area (Gresik + Bangkalan + Mojokerto city and regency + Surabaya + Sidoarjo + Lamongan) (indonesia) (link not available) . jatim.bps.go.id . Date of treatment March 3, 2019. Archived on February 28, 2019.

[72] 2009 est. Taipei city has second-highest per capita GDP in Asia Archived January 22, 2013.

[73] ttp://issuu.com/eas-estonia/docs/wtoe_harjumk?e=1268773/4868082#222222

[74] 2011 est. , US Metro Economies Archived August 13, 2012. by IHS Global Insight for The US Conference of Mayors

[:0-75] ¹ ² ³ ⁴ ⁵ Shanghai first Chinese city to top 3 trillion yuan GDP (unopened) . China Daily . Date of treatment January 20, 2018.

[76] ttp://geostat.ge/index.php?action=page&p_id=119&lang=eng

[77] ttp://www.toukei.metro.tokyo.jp/tnenkan/tn-eindex.htm

[78] 2009 est. / World's Largest Metropolitan Regions by LRP (neopr.) . University of Toronto. Date of treatment March 1, 2009.

[79] 2010 est. / JPY 157.820 billion according to Urban Employment Area . Metropolitan Employment Area (MEA) Data (neopr.) . Center for Spatial Information Science, University of Tokyo .

[80] Economic Indicators (neopr.) . www1.toronto.ca . Date of treatment April 28, 2017. Archived September 29, 2017. Toronto CMA GDP was 334.1B CAD, converted at the average CAD / USD exchange rate of 1.104 for 2014.

[81] National Bureau of Statistics of China (Neopr.) . http://data.stats.gov.cn . Date of treatment August 25, 2017.

[PBIT-82] Punjab At A Glance (unopened) (inaccessible link) . Punjab Board of Investment & Trade, Government of The Punjab (2016). Date of treatment April 15, 2017. Archived on April 16, 2017.

[83] Approx., 2013 est. / GDP of Fukuoka Prefecture is 19.0 trillion yen (approximately US $ 185 billion). Cabinet Office, Government of Japan. Retrieved August 14, 2016.

[85] 2010 est. / JPY 13.811 billion according to Urban Employment Area . Metropolitan Employment Area (MEA) Data (neopr.) . Center for Spatial Information Science ( University of Tokyo ).

[86] National Bureau of Statistics of China (Neopr.) . data.stats.gov.cn . Date of treatment August 25, 2017.

[data.stats.gov.cn-87] National Bureau of Statistics of China (Neopr.) . data.stats.gov.cn . Date of treatment August 25, 2017.

[88] 2008 est. / Global woes pinch rise in city GDP (neopr.) . ShanghaiDaily (January 22, 2009). Date of treatment December 25, 2009.

[89] ttp://m.scmp.com/news/china/economy/article/2128310/shenzhen-88-cent-hi-tech-growth-roll-hit-y2tr-2017

List of cities by GRP

See also

Notes

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