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==Largest metropolitan areas by GDP==
 
This is a list of largest metropolitan areas by their gross domestic product (GDP) in [[US dollars]] as well as local currency.
 
[[File:West side of Manhattan from Hudson Commons (95103p).jpg|thumb|upright=1.1|[[New York metropolitan area]] has the largest GDP in North America ($2,163 billion)]]
 
[[File:Bairro dos jardins em são paulo (1) (cropped).jpg|thumb|upright=1.1|[[São Paulo (state)|São Paulo metropolitan area]] has the largest GDP in South America ($505 billion)]]
 
[[File:The Eiffel Tower, viewed from Tour Montparnasse, 25 July 2022 (cropped).jpg|thumb|upright=1.1|[[Paris metropolitan area]] has the largest GDP in Europe ($905 billion)]]
 
[[File:Tokyo Tower and around Skyscrapers.jpg|thumb|upright=1.1|[[Greater Tokyo Area]] has the largest GDP in Asia ($2,084 billion)]]
 
[[File:2014 Victoria Island Lagos Nigeria 15006436297.jpg|thumb|upright=1.1|[[Lagos State|Lagos metropolitan area]] has the largest GDP in Africa ($142 billion)]]
 
[[File:Sydney CBD skyline, January 2021.jpg|thumb|upright=1.1|[[Sydney|Sydney metropolitan area]] has the largest GDP in the Oceania ($345 billion)]]
 
== North America ==
 
{| class="sortable wikitable" style="font-size:80%;"
!2022<br>rank
rank
!Metropolitan area
!GDP (local currency)
!GDP (billion US$)
!Year
|-
|1||{{flagicon|United States}} [[New York metropolitan area]], United States
|—
|2,163.209
|2022<ref name=FRED>{{citecitation|title=Gross Domestic Product by County and Metropolitan Area|url=https://fred.stlouisfed.org/release?et=&pageID=2&rid=397&t=|website=fred.stlouisfed.org}}</ref>
|-
|2||{{flagicon|United States}} [[Greater Los Angeles]], United States
|—
|1,527.621
|2022<ref name=FRED/>
|-
|3||{{flagicon|United States}} [[San Francisco Bay Area]], United States
|—
|1,280.829
|2022<ref name=FRED/>
|-
|4||{{flagicon|United States}} [[Chicago metropolitan area]], United States
|—
|832.900
|2022<ref name=FRED/>
|-
|5||{{flagicon|United States}} [[Dallas–Fort Worth metroplex]], United States
|—
|688.928
|2022<ref name=FRED/>
|-
|6||{{flagicon|United States}} [[Washington metropolitan area]], United States
|—
|660.626
|2022<ref name=FRED/>
|-
|7||{{flagicon|United States}} [[Greater Houston]], United States
|—
|633.185
|2022<ref name=FRED/>
|-
|8||{{flagicon|United States}} [[Metro Atlanta]], United States
|—
|525.888
|2022<ref name=FRED/>
|-
|9||{{flagicon|United States}} [[Greater Philadelphia]], United States
|—
|518.485
|2022<ref name=FRED/>
|-
|10||{{flagicon|United States}} [[Seattle metropolitan area]], United States
|—
|517.803
|2022<ref name=FRED/>
|-
|11||{{flagicon|United States}} [[Greater Boston]], United States
|—
|504.105
|2022<ref name=FRED/>
|-
|12||{{flagicon|United States}} [[Miami metropolitan area]], United States
|—
|483.755
|2022<ref name=FRED/>
|-
|13||{{flagicon|United States}} [[Phoenix metropolitan area]], United States
|—
|362.087
|2022<ref name=FRED/>
Line 1,195 ⟶ 1,206:
|-
|16||{{flagicon|United States}} [[Metro Detroit]], United States
|—
|305.412
|2022<ref name=FRED/>
|-
|17||{{flagicon|United States}} [[San Diego County, California|San Diego metropolitan area]], United States
|—
|295.645
|2022<ref name=FRED/>
|-
|18||{{flagicon|United States}} [[Denver metropolitan area]], United States
|—
|288.800
|2022<ref name=FRED/>
|-
|19||{{flagicon|United States}} [[Minneapolis–Saint Paul]], United States
|—
|277.602
|2022<ref name=FRED/>
|-
|20||{{flagicon|United States}} [[Baltimore metropolitan area]], United States
|—
|241.399
|2022<ref name=FRED/>
|-
|21||{{flagicon|United States}} [[Charlotte metropolitan area]], United States
|—
|228.913
|2022<ref name=FRED/>
|-
|22||{{flagicon|United States}} [[Greater Austin]], United States
|—
|222.054
|2022<ref name=FRED/>
|-
|23||{{flagicon|United States}} [[Tampa Bay area]], United States
|—
|219.414
|2022<ref name=FRED/>
|-
|24||{{flagicon|United States}} [[Greater St. Louis]], United States
|—
|209.936
|2022<ref name=FRED/>
|-
|25||{{flagicon|United States}} [[Portland metropolitan area]], United States
|—
|204.319
|2022<ref name=FRED/>
|-
|26||{{flagicon|United States}} [[Greater Orlando]], United States
|—
|194.472
|2022<ref name=FRED/>
|-
|27||{{flagicon|United States}} [[Nashville metropolitan area]], United States
|—
|187.781
|2022<ref name=FRED/>
|-
|28||{{flagicon|United States}} [[Cincinnati metropolitan area]], United States
|—
|186.141
|2022<ref name=FRED/>
|-
|29||{{flagicon|United States}} [[Indianapolis metropolitan area]], United States
|—
|184.394
|2022<ref name=FRED/>
|-
|30||{{flagicon|United States}} [[Greater Pittsburgh]], United States
|—
|181.485
|2022<ref name=FRED/>
|-
|31||{{flagicon|United States}} [[Greater Sacramento]], United SatatesStates
|—
|176.276
|2022<ref name=FRED/>
Line 1,281 ⟶ 1,292:
|-
|33||{{flagicon|United States}} [[Kansas City metropolitan area]], United States
|—
|169.501
|2022<ref name=FRED/>
|-
|34||{{flagicon|United States}} [[Columbus metropolitan area, Ohio|Columbus metropolitan area]], United States
|—
|169.123
|2022<ref name=FRED/>
|-
|35||{{flagicon|United States}} [[Greater San Antonio]], United States
|—
|163.061
|2022<ref name=FRED/>
|-
|36||{{flagicon|United States}} [[Las Vegas Valley]], United States
|—
|160.728
|2022<ref name=FRED/>
|-
|37||{{flagicon|United States}} [[Greater Cleveland]], United States
|—
|138.260
|2022<ref name=FRED/>
|-
|38||{{flagicon|United States}} [[Salt Lake City metropolitan area]], United States
|—
|135.409
|2022<ref name=FRED/>
Line 1,317 ⟶ 1,328:
|-
|40||{{flagicon|United States}} [[Milwaukee metropolitan area]], United States
|—
|120.563
|2022<ref name=FRED/>
|-
|41||{{flagicon|United States}} [[Research Triangle]], United States
|—
|119.675
|2022<ref name=FRED/>
|-
|42||{{flagicon|United States}} [[Hampton Roads]], United States
|—
|118.686
|2022<ref name=FRED/>
|-
|43||{{flagicon|United States}} [[Jacksonville metropolitan area, Florida|Jacksonville metropolitan area]], United States
|—
|117.162
|2022<ref name=FRED/>
|-
|44||{{flagicon|United States}} [[Greater Hartford]], United States
|—
|114.887
|2022<ref name=FRED/>
|-
|45||{{flagicon|United States}} [[Providence metropolitan area]], United States
|—
|105.571
|2022<ref name=FRED/>
|-
|46||{{flagicon|United States}} [[Greater Bridgeport]], United States
|—
|104.368
|2022<ref name=FRED/>
|-
|}
 
== South America ==
 
{| class="wikitable sortable" style="font-size:80%;"
|-
! Rank
! Metropolitan area
Line 1,364 ⟶ 1,373:
|-
| 1
| {{flagicon|Brazil}} [[São Paulo (state)|São Paulo metropolitan area]], Brazil
|R$ 2,719.751 billion
|504.514
Line 1,370 ⟶ 1,379:
|-
| 2
| {{flagicon|Brazil}} [[Rio de Janeiro (state)|Rio de Janeiro metropolitan area]], Brazil
|R$ 949.301 billion
|176.095
Line 1,376 ⟶ 1,385:
|-
| 3
|{{flagicon|Argentina}} [[Buenos Aires Province|Buenos AuresAires metropolitan area]], Argentina
|ARS 7,573.803 billion
|162.079
Line 1,385 ⟶ 1,394:
== Europe ==
 
{| class="wikitable sortable" style="font-size:80%;"
|-
! Rank
Line 1,401 ⟶ 1,410:
| 2
|{{flagicon|UK}} [[London metropolitan area]], UK
|£487.000 billion
|£487.000 billion<ref name=uk>{{Cite web |url= https://www.ons.gov.uk/economy/grossvalueaddedgva/datasets/nominalregionalgrossvalueaddedbalancedperheadandincomecomponents |title= Regional economic activity by gross domestic product, UK: 1998 to 2021 |first=Trevor |last=Fenton |website=ons.gov.uk}}</ref>
|670.000
|2021<ref name=uk>{{Cite web |url= https://www.ons.gov.uk/economy/grossvalueaddedgva/datasets/nominalregionalgrossvalueaddedbalancedperheadandincomecomponents |title= Regional economic activity by gross domestic product, UK: 1998 to 2021 |first=Trevor |last=Fenton |website=ons.gov.uk}}</ref>
|2021<ref name=regions/>
|-
| 3
Line 1,413 ⟶ 1,422:
| 4
|{{flagicon|Russia}} [[Moscow metropolitan area]], Russia
|₽31,303.000 billion
|
₽31,303.000 billion
|425.000
|2021<ref>{{Cite web|url=https://rosstat.gov.ru/storage/mediabank/VRP_s_1998.xlsx|title=Валовой региональный продукт по субъектам Российской Федерации в 2016-2021гг.|website=www.rosstat.gov.ru}}</ref>
Line 1,486 ⟶ 1,494:
| 16
| {{flagicon|Sweden}} [[Stockholm metropolitan area]], Sweden
|€172.401 billion{{efn| Although Euro is not official currency of Sweden it’s used for Eurostat statistics.}}
|€172.401 billion
|203.950
|2021<ref name=regions/>
Line 1,510 ⟶ 1,518:
| 20
| {{flagicon|Denmark}} [[Copenhagen metropolitan area|Greater Copenhagen]], Denmark
|€152.064 billion{{efn| Although Euro is not official currency of Denmark it’s used for Eurostat statistics.}}
|€152.064 billion
|179.892
|2021<ref name=ec.europa.eu/>
Line 1,546 ⟶ 1,554:
| 26
|{{flagicon|Poland}} [[Warsaw metropolitan area]], Poland
|€100.336 billion{{efn| Although Euro is not official currency of Poland it’s used for Eurostat statistics.}}
|€100.336 billion
|118.697
|2021<ref name=regions/>
Line 1,588 ⟶ 1,596:
| 33
|{{flagicon|Czechia}} [[Prague metropolitan area]], Czechia
|€92.276 billion{{efn| Although Euro is not official currency of Czechia it’s used for Eurostat statistics.}}
|€92.276 billion
|109.163
|2021<ref name=ec.europa.eu/>
Line 1,603 ⟶ 1,611:
|101.831
|2021<ref name=ec.europa.eu/>
|-
|}
 
== Asia ==
 
{| class="wikitable sortable" style="font-size:80%;"
|-
! Rank
! Metropolitan area
Line 1,620 ⟶ 1,626:
| JP¥ 222,129.000 billion
| 2,084.000
| 2021<ref name="esri.cao.go.jp">{{citewebcite web|title=県民経済計算（平成23年度 - 令和２年度）（2008SNA、平成27年基準計数）＜47都道府県、4政令指定都市分＞|url=https://www.esri.cao.go.jp/jp/sna/data/data_list/kenmin/files/contents/main_2020.html|website=www.esri.cao.go.jp}}</ref>
|-
| 2
|{{flagicon|South Korea}} [[Seoul Capital Area]], South Korea
|KRWKR₩ 1,137,000.000 billion
|909.600
|2021 <ref name="kostat.go.kr">{{citewebcite web|title=2021년 지역소득(잠정)|url=https://kostat.go.kr/synap/skin/doc.html?fn=8968f427e96dabb2929ae805f2550668f3fc415b59c7e921107078267ed7008e&rs=/synap/preview/board/243|website=kostat.go.kr}}</ref>
|-
| 3
|{{flagicon|Japan}} [[Keihanshin]], Japan
|JP¥ 74,150.000 billion
|
|699680.474251
|2019<ref name="esri.cao.go.jp"/>
|2020
|-
| 4
Line 1,648 ⟶ 1,654:
| 6
|{{flagicon|Singapore}} [[Singapore]], Singapore
|S$ 643.546 billion
|
|515.548
|2022<ref name=IMF/>
|
|-
| 7
| {{flagicon|China}} [[Shenzhen]], China
|CN¥ 3,239.000 billion
|482466.000789
|2022 <ref name="data2022"/>
|-
| 8
| {{flagicon|Taiwan}} [[Taipei]], Taiwan
|
| 407.838
|
|-
| 9
|{{flagicon|China}} [[Chongqing]], China
| CN¥ 2,913.000 billion
Line 1,670:
|2022 <ref name="data2022"/>
|-
| 109
| {{flagicon|China}} [[Guangzhou]], China
| CN¥ 2,884.000 billion
| 429.000
| 2022<ref name="data2022"/>
|-
| 10
| {{flagicon|Taiwan}} [[Taipei]], Taiwan
| —
| 407.838
| 2021<ref name=visualcapitalist/>
|-
| 11
| {{flagicon|Japan}} [[Chūkyō metropolitan area]], Japan
|JP¥ 40,911.000 billion
|375.316
|2019<ref name="esri.cao.go.jp"/>
|-
| 12
|{{flagicon|China}} [[Hong Kong]], China
|HK$ 2,818.000 billion
|
|383359.000839
|2022<ref name=IMF>{{cite|title=World Economic Outlook database: October 2023|url=https://www.imf.org/en/Publications/WEO/weo-database/2023/October/weo-report?c=532,576,&s=NGDP,NGDPD,&sy=2021&ey=2023&ssm=0&scsm=1&scc=0&ssd=1&ssc=0&sic=0&sort=country&ds=.&br=1|website=www.imf.org}}</ref>
|
|-
| 12
| {{flagicon|Japan}} [[Nagoya metropolitan area]], Japan
|
| 379.300
|
|-
| 13
|{{flagicon|China}} [[Suzhou]], China
| CN¥ 2,396.000 billion
| 356.000
| 2022<ref name="data2022"/>
Line 1,696 ⟶ 1,702:
| 14
|{{flagicon|Israel}} [[Tel Aviv metropolitan area]], Israel
|ILS 1,040.646 billion
|
|310.000
|2022<ref>{{Cite web|url=https://m.calcalist.co.il/Article.aspx?guid=3552158|title=Instead of talking about national economy, we should talk about cities|website=www.calcalist.co.il}}</ref><ref>{{Cite web|url=https://www.imf.org/en/Publications/WEO/weo-database/2023/October/weo-report?c=436,&s=NGDP,NGDPD,&sy=2021&ey=2023&ssm=0&scsm=1&scc=0&ssd=1&ssc=0&sic=0&sort=country&ds=.&br=1|title= World Economic Outlook database: October 2023|website=www.imf.org}}</ref>
|
|-
| 15
Line 1,714 ⟶ 1,720:
| 17
|{{flagicon|China}} [[Hangzhou]], China
| CN¥ 1,875.000 billion
| 279.000
| 2022<ref name="data2022"/>
|-
| 18
|{{flagicon|India}} [[Mumbai Metropolitan Region]], India
| —
|
| 278277.000980
| 2021<ref name=visualcapitalist>{{cite web|title=Global Wealth GDP Nominal Distribution: Who Are The Leaders Of The Global Economy? - Full Size|url=https://www.visualcapitalist.com/wp-content/uploads/2021/08/Global-Wealth-Distribution.html|access-date=2022-03-27|website=www.visualcapitalist.com}}</ref>
|
|-
| 19
|{{flagicon|India}} [[National Capital Region (India)|Delhi metropolitan area]], India
| —
|
| 272.600
| 2021<ref name=visualcapitalist/>
|
|-
| 20
| {{flagicon|Thailand}} [[Bangkok Metropolitan Region]], Thailand
| THB 7,167.000 billion
|
| 259258.000900
| 2019<ref name="NESDB-2017">{{cite journal|title=''Gross Regional and Provincial Product, 2019 Edition''|journal=<> |date=July 2019|url=https://www.nesdc.go.th/ewt_dl_link.php?nid=5628&filename=gross_regional|access-date=22 January 2020|publisher=Office of the National Economic and Social Development Council (NESDC)|language=en|issn=1686-0799}}</ref>
|
|-
| 21
Line 1,744 ⟶ 1,750:
| 22
|{{flagicon|South Korea}} [[Busan–Gyeongnam Area]], South Korea
| KR₩ 310,000.000 billion
|
| 252248.145000
| 2021<ref name="kostat.go.kr"/>
|
|-
| 23
| {{flagicon|Saudi Arabia}} [[Riyadh]] metropolitan area, Saudi Arabia
|
|247.800
|
|-
| 24
|{{flagicon|China}} [[Tianjin]], China
|CN¥ 1,631.000 billion
Line 1,760:
|2022<ref name="data2022"/>
|-
| 2524
|{{flagicon|China}} [[Ningbo]], China
|CN¥ 1,570.000 billion
|234.000
|2022<ref name="data2022"/>
|-
| 25
|{{flagicon|Philippines}} [[Mega Manila]], Philippines
|
₱12,339.000 billion
|223.300
|2021<ref>{{Cite web|url=https://openstat.psa.gov.ph/PXWeb/pxweb/en/DB/DB__2B__GP__RG__GRD/0012B5CPGD1.px/table/tableViewLayout1/?rxid=25165597-369b-42b7-90bf-b1f937a5e1d4|title=GRDP Tables {{!}} Philippine Statistics Authority|website=psa.gov.ph|language=en|access-date=2023-08-04}}</ref>
|-
| 26
Line 1,782 ⟶ 1,789:
|IDR 3,186,500.000 billion
|214.600
|2022<ref name="bpsdata2022">{{Cite web |author=Badan Pusat Statistik |author-link=Statistics Indonesia |year=2023 |title=Produk Domestik Regional Bruto (Milyar Rupiah), 2020–2022 |url=https://www.bps.go.id/indicator/52/286/1/-seri-2010-produk-domestik-regional-bruto-.html |publisher=Badan Pusat Statistik |location=Jakarta |language=id}}</ref>
|
|-
| 29
Line 1,804 ⟶ 1,811:
| 32
|{{flagicon|Japan}} [[Fukuoka–Kitakyushu]], Japan
|JP¥ 19,942.000 billion
|
|185182.000952
|2019<ref name="esri.cao.go.jp"/>
|
|-
| 33
Line 1,833 ⟶ 1,840:
|-
| 37
|{{flagicon|UAE}} [[Abu Dhabi Central Capital District|Abu Dhabi Metropolitan Area]], UAE
|
|178.000
|
|-
| 38
|{{flagicon|UAE}} [[Dubai]], UAE
|
|177.000
|
|-
| 39
|{{flagicon|China}} [[Xi'an]], China
|CN¥ 1,149.000 billion
Line 1,850 ⟶ 1,845:
|2022<ref name="data2022"/>
|-
| 4038
|{{flagicon|China}} [[Nantong]], China
|CN¥ 1,138.000 billion
Line 1,856 ⟶ 1,851:
|2022<ref name="data2022"/>
|-
| 4139
|{{flagicon|China}} [[Dongguan]], China
| CN¥ 1,120.000 billion
Line 1,862 ⟶ 1,857:
| 2022<ref name="data2022"/>
|-
| 4240
|{{flagicon|PhilippinesBangladesh}} [[Greater Manila AreaDhaka]], PhilippinesBangladesh
|BDT 14,298.179 billion
|
|162165.300672
|2022<ref>{{citation|title=URBANISATION IN BANGLADESH: CHALLENGES AND WAY FORWARD|url=https://asef.org/wp-content/uploads/2021/11/ASEFSU23-Background-Paper_Sustainable-Urbanisation-in-Bangladesh-Dhaka.pdf|website=asef.org}}</ref><ref>{{citation|title=World Economic Outlook Database|url=https://www.imf.org/en/Publications/WEO/weo-database/2023/October/weo-report?c=513,&s=NGDP,NGDPD,&sy=2022&ey=2022&ssm=0&scsm=1&scc=0&ssd=1&ssc=0&sic=0&sort=country&ds=.&br=1|website=imf.org}}</ref>
|
|-
| 4341
|{{flagicon|BangladeshUAE}} [[DhakaAbu Dhabi Central Capital District|Abu Dhabi Metropolitan Area]], BangladeshUAE
|AED 554.600 billion
|
|160151.000073
|2022<ref>{{citation|title=Abu Dhabi fastest-growing economy in MENA Region with GDP growth rate of 9.3% in 2022|url=https://added.gov.ae/Media-Center/Business-News/Abu-Dhabi-fastest-growing-economy-in-MENA-Region-with-GDP-growth-rate|website=added.gov.ae}}</ref>
|
|-
| 4442
|{{flagicon|China}} [[Changzhou]], China
|CN¥ 955.000 billion
Line 1,880 ⟶ 1,875:
|2022<ref name="data2022"/>
|-
| 4543
|{{flagicon|China}} [[Yantai]], China
|CN¥ 952.000 billion
Line 1,886 ⟶ 1,881:
|2022<ref name="data2022"/>
|-
| 4644
|{{flagicon|China}} [[Tangshan]] China
|CN¥ 890.000 billion
Line 1,892 ⟶ 1,887:
|2022<ref name="data2022"/>
|-
| 4745
|{{flagicon|UAE}} [[Emirate of Dubai|Dubai metropolitan area]], UAE
| AED 463.794 billion
| 126.337
| 2022<ref>{{citation|title=Gross Domestic Product at Current Prices Emirate of Dubai 2022|url=https://www.dsc.gov.ae/Report/GDP%20at%20Current%20Prices%202022-%20Emirate%20of%20Dubai.pdf|website=dsc.gov.ae}}</ref>
|-
| 46
|{{flagicon|China}} [[Xuzhou]], China
|CN¥ 846.000 billion
Line 1,898 ⟶ 1,899:
|2022<ref name="data2022"/>
|-
| 4847
|{{flagicon|China}} [[Dalian]], China
|CN¥ 843.000 billion
Line 1,904 ⟶ 1,905:
|2022<ref name="data2022"/>
|-
| 4948
|{{flagicon|China}} [[Wenzhou]], China
| CN¥ 803.000 billion
| 119.000
| 2022<ref name="data2022"/>
|-
| 50
|{{flagicon|India}} [[Bangalore]], India
|
|110.000
|
|-
|}
 
== Africa ==
 
{| class="wikitable sortable" style="font-size:80%;"
|-
! Rank !! Metropolitan area
! GDP (local currency)
Line 1,935 ⟶ 1,928:
| ZAR 2,184.600 billion
| 133.916
|2022<ref>{{citecitation|title=Census 2022|url= https://www.statssa.gov.za/?p=16650|website= statssa.gov.za}}</ref>
|-
|}
 
== Oceania ==
 
{| class="wikitable sortable" style="font-size:80%;"
|-
! Rank
! Metropolitan area
Line 1,953 ⟶ 1,944:
| [[AU$]] 461.440 billion
| 344.926
|2018<ref name=aus>{{citecitation|title=Economic performance of Australia’sAustralia's cities and regions|url=https://sgsep.com.au/assets/main/Publications/SGS-Economics-and-Planning_Economic-Performance-of-Australian-Cities-and-Regions.pdf|website=sgsep.com.au}}</ref>
|-
| 2
Line 1,972 ⟶ 1,963:
| 109.973
|2018<ref name=aus/>
|-
|}
 
== Notelist ==
{{notelist}}
 
==References==
Retrieved from "https://en.wikipedia.org/wiki/User:Radom1967/sandbox"