«Մասնակից:Aregnaz2001/Ավազարկղ»–ի խմբագրումների տարբերություն
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==[[Գնողունակության համարժեքություն|Գնողունակության համարժեքության]] ցուցակ==
{|class="wikitable plainrowheaders sortable" style="font-size:100%; text-align:left;"
|-
! Դաս
! Ստորաբաժանում
! Երկիր
! [[աշխարհամաս]]
! <small>[[Գնողունակության համարժեքություն|<br>[[ՀՆԱ]]]]<br>(միլիարդ<br>[[ԱՄՆ դոլար]])</small>
! Year
! <small>Բնակչություն<br>(միլիոն)</small>
! <small>[[Գնողունակության համարժեքություն|<br>ՀՆԱ-ում ըստ<br>մեկ շնչի]]<br>(հազար<br>[[ԱՄՆ դոլար]])</small>
! Ամենամեծ<br>քաղաք
|-
|1
| '''{{flag|Կալիֆոռնիա}}'''
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|3,137.5
| 2019<ref name="bea">{{Cite web |url=https://www.bea.gov/system/files/2019-04/qgdpstate0519_4.pdf|title=Archived copy |access-date=2019-02-28 |archive-url=https://web.archive.org/web/20190228192007/https://www.bea.gov/system/files/2019-02/qgdpstate0219.pdf |archive-date=2019-02-28 |url-status=dead }}</ref>
| align="right"|39.5
| align="right"|80.0
| [[Լոս Անջելես]]
|-
|2
| '''[[Գուանդուն]]'''
| {{CHN}}
| [[Ասիա]]
| align="right"|2,549.3
| 2019<ref name="China2019">GDP-2019 by Chinese provinces is quarterly data ({{cite web|url=http://data.stats.gov.cn/english/easyquery.htm?cn=E0102|title=Regional - quarterly by province (preliminary estimate) - China NBS National data|website=data.stats.gov.cn/english/index.htm|date=2019-04-07 }}). the average exchange rate is CNY 6.9 per US dollar (according to the ''Statistical Communiqué of P.R. China on the 2019 National Economic and Social Development'', {{cite web|url=http://www.stats.gov.cn/english/PressRelease/202002/t20200228_1728917.html|title=Statistical Communiqué of P.R. China on the 2018 National Economic and Social Development|website=data.stats.gov.cn/english/index.htm|date=2019-04-07}})</ref>
| align="right"|113.5
| align="right"|22.2
| [[Գուանչժոու]]
|-
|3
| [[Ցզյանսու]]
| {{CHN}}
| [[Ասիա]]
| align="right"|2,358.9
| 2019<ref name="China2019"/>
| align="right"|80.4
| align="right"|29.3
| [[Սուչժոու]]
|-
|4
| {{flag|Տեխաս}}
| {{USA}}
|[[Հյուսիսային Ամերիկա]]
| align="right"|1,886.9
| 2019<ref name="bea" />
| align="right"|28.3
| align="right"|64.0
| [[Հյուստոն]]
|-
|5
| {{flag|Նյու Յորք (նահանգ)}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|1,731.9
| 2019<ref name="bea" />
| align="right"|19.5
| align="right"|90.0
| [[Նյու Յորք]]
|-
|6
| [[Շանդուն (նահանգ)]]
| {{CHN}}
| [[Ասիա]]
| align="right"|1,682.6
| 2019<ref name="China2019"/>
| align="right"|100.5
| align="right"|16.7
| [[Ցինդաո]]
|-
|7
| [[Չժեցյան]]
| {{CHN}}
| [[Ասիա]]
| align="right"|1,476.3
| 2019<ref name="China2019"/>
| align="right"|57.4
| align="right"|25.5
| [[Հանչժոու]]
|-
|8
| '''Մահարաշտրա'''
| {{IND}}
| [[Ասիա]]
| style="text-align:right;"|1,337.2
| 2019<ref>{{cite web|url=http://www.prsindia.org/uploads/media/State%20Budget%202018-19/Maharashtra%20Budget%20Analysis%202018-19.pdf|title=Maharashtra Budget Analysis 2018-19|website=PRS Legislative Research|access-date=2018-06-02|archive-url=https://web.archive.org/web/20180315003728/http://www.prsindia.org/uploads/media/State%20Budget%202018-19/Maharashtra%20Budget%20Analysis%202018-19.pdf|archive-date=2018-03-15|url-status=dead}}</ref>
| align="right"|112.4
| align="right"|10.4
| [[Մումբայ]]
|-
|9
| [[Հենան]]
| {{CHN}}
| [[Ասիա]]
| align="right"|1,284.7
| 2019<ref name="China2018">GDP-2018 by Chinese provinces is quarterly data ({{cite web|url=http://data.stats.gov.cn/english/easyquery.htm?cn=B01|title=Regional - quarterly by province (preliminary estimate) - China NBS National data|website=data.stats.gov.cn/english/index.htm|date=2019-04-07 }}). the average exchange rate is CNY 6.6174 per US dollar (according to the ''Statistical Communiqué of P.R. China on the 2018 National Economic and Social Development'', {{cite web|url=http://www.stats.gov.cn/english/PressRelease/201902/t20190228_1651335.html|title=Statistical Communiqué of P.R. China on the 2018 National Economic and Social Development|website=data.stats.gov.cn/english/index.htm|date=2019-04-07}})</ref>
| align="right"|95.5
| align="right"|13.4
| Չժենչժոու
|-
|10
| Սիչուան
| {{CHN}}
| [[Ասիա]]
| align="right"|1,103.7
| 2019<ref name="China2018"/>
| align="right"|82.8
| align="right"|13.2
| [[Չենդու]]
|-
|11
| {{flag|Ֆլորիդա}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|1,093.4
| 2019<ref name="bea" />
| align="right"|20.6
| align="right"|50.0
| [[Ջեքսոնվիլ (Ֆլորիդա)]]
|-
|12
| [[Հուբեյ]]
| {{CHN}}
| [[Ասիա]]
| align="right"|1,085.3
| 2019<ref name="China2018"/>
| align="right"|58.2
| align="right"|18.3
| [[Ուհան]]
|-
|13
| '''{{flag|Տոկիո}}'''
| {{JPN}}
| [[Ասիա]]
| align="right"|1,074.3
| 2018<ref>
{{cite web |url= https://www.metro.tokyo.lg.jp/tosei/hodohappyo/press/2020/02/10/10.html |title= 都民経済計算（都内総生産等）30年度速報・元年度見込｜東京都 |publisher= [[Tokyo Metropolitan Government]] |access-date= April 28, 2020 |language = ja}}</ref>
| align="right"|13.9
| align="right"|77.3
| [[Տոկիո]]
|-
|14
| '''Իլ դը Ֆրանս (երկրամաս)'''
| {{FRA}}
| [[Եվրոպա]]
| align="right"|1,057.2
| 2018<ref name="ReferenceA">https://ec.europa.eu/eurostat/documents/2995521/10474907/1-05032020-AP-EN.pdf</ref>
| align="right"|12.2
| align="right"|85.5
| [[Փարիզ]]
|-
|15
| '''[[Սեուլի մայրաքաղաքային տարածաշրջան]]'''
| {{KOR}}
| [[Ասիա]]
| align="right"|1,043.1
| 2017<ref name="index.go.kr">{{cite web|url=http://kostat.go.kr/portal/korea/kor_nw/1/13/2/index.board?bmode=read&aSeq=372162|title=2017년 지역소득(잠정)|website=www.kostat.go.kr}}</ref>
| align="right"|25.5
| align="right"|40.6
| [[Սեուլ]]
|-
|16
| '''{{flag|Սան Պաուլու (նահանգ)}}'''
| {{BRA}}
| [[Հարավային Ամերիկա]]
| align="right"|1,020.5
| 2018<ref name="Newsletter 3">{{cite web|title=PIB TRIMESTRAL DO ESTADO DE SÃO PAULO|url=http://www.seade.gov.br/produtos/midia/2018/02/PIB_Trim_4_2017.pdf|df=dmy-all}}</ref>
| align="right"|45.5
| align="right"|24.5
| [[Սան Պաուլո]]
|-
|17
| '''[[Հյուսիսային Հռենոս-Վեսթֆալիա]]'''
| {{GER}}
| [[Եվրոպա]]
| align="right"|963.3
| 2016<ref name=GermanyRef>{{cite web|title=Germany GDP-2012 and 2013 figures |url=http://www.statistik-portal.de/statistik-portal/en/en_jb27_jahrtab65.asp |quotation='''Germany Federal Statistical Office'''; National accounts – Gross domestic product; Annual average exchange rate is US$ 1.11 to EUR€ 1 in 2015 |website=Statistik-portal.de |accessdate=2017-03-30 |url-status=dead |archiveurl=https://web.archive.org/web/20110524080845/http://www.statistik-portal.de/Statistik-Portal/en/en_jb27_jahrtab65.asp |archivedate=2011-05-24 }}</ref>
| align="right"|17.9
| align="right"|50.9
| [[Քյոլն]]
|-
|18
| {{flag|Իլինոյս}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|909.0
| 2019<ref name=":1">{{Cite web|url=https://www.bea.gov/system/files/2020-04/qgdpstate0420.pdf|title=Gross Domestic Product by State|website=US Bureau of Economic Analysis|archive-url=https://www.bea.gov/system/files/2020-04/qgdpstate0420.pdf|archive-date=2017-12-01|url-status=live}}</ref>
| align="right"|12.7
| align="right"|72.0
| [[Չիկագո]]
|-
|19
| [[Շանհայ]]
| {{CHN}}
| [[Ասիա]]
| align="right"|904.5
| 2019<ref name="China2019"/>
| align="right"|21.5
| align="right"|39.3
| [[Շանհայ]]
|-
|20
| Հունան
| {{CHN}}
| [[Ասիա]]
| align="right"|899.6
| 2018<ref name="China2018"/>
| align="right"|68.4
| align="right"|13.1
| [[Չանշա]]
|-
|21
| [[Հեբեյ (նահանգ)]]
| {{CHN}}
| [[Ասիա]]
| align="right"|889.8
| 2018<ref name="China2018"/>
| align="right"|73.3
| align="right"|11.4
| [[Չանշաg]]
|-
|22
| [[Ֆուցզյան]]
| {{CHN}}
| [[Ասիա]]
| align="right"|884.9
| 2018<ref name="China2018"/>
| align="right"|38.9
| align="right"|21.3
| Ֆուժոու
|-
|23
| [[Պեկին]]
| {{CHN}}
| [[Ասիա]]
| align="right"|839.1
| 2019<ref name="China2019"/>
| align="right"|21.5
| align="right"|39.3
| [[Պեկին]]
|-
|24
| {{flag|Բավարիա}}
| {{GER}}
| [[Եվրոպա]]
| align="right"|820.3
| 2016<ref name=GermanyRef/>
| align="right"|12.8
| align="right"|60.6
| [[Մյունխեն]]
|-
|25
|[[Թամիլ Նադու]]
| {{IND}}
| [[Ասիա]]
| style="text-align:right;" |819.0<!-- Converted from ₹17.26 lakh crore -->
| 2019<ref name="SDP 2018-19">{{cite web|title=State Domestic Product as of 31 March 2019|url=http://cms.tn.gov.in/sites/default/f..._e_2018_19.pdf|publisher=Ministry of Statistics and Program Implementation, Government Of India|accessdate=21 May 2017}}{{Dead link|date=April 2019 |bot=InternetArchiveBot |fix-attempted=yes }}</ref>
| align="right"|72.2
| align="right"|10.5
| [[Չեննայ]]
|-
|26
| '''[[Ստամբուլ]]'''
| {{flag|Թուրքիա}}
| [[Եվրոպա]]
| align="right"|816.9
| 2017<ref>http://www.turkstat.gov.tr/PreHaberBultenleri.do;jsessionid=WvSKczfTxbnynDmp1TvLyNbz23GzhG62pX1pLNDSzrYhjjbMZVQd!-556022155?id=30888</ref>
| align="right"|15.1
| align="right"|55.5
| [[Ստամբուլ]]
|-
|27
|[[Գուջարաթ]]
| {{IND}}
| [[Ասիա]]
| style="text-align:right;" |809.0
| 2018<ref>{{cite web|url=https://www.prsindia.org/parliamenttrack/budgets/gujarat-budget-analysis-2019-2020|title=Gujarat State Budget|archive-url=https://web.archive.org/web/20190810040816/http://www.prsindia.org/parliamenttrack/budgets/gujarat-budget-analysis-2019-2020|archive-date=2019-08-10|url-status=dead|access-date=2019-09-02}}</ref>
| align="right"|63.9
| align="right"|10.8
| [[Ահմադաբադ]]
|-
|28
| {{flag|Փենսիլվանիա}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|803.0
| 2018<ref name=":0">{{Cite web|url=https://www.bea.gov/system/files/2019-04/qgdpstate0519_4.pdf|title=US State GDP 2018|archive-url=https://web.archive.org/web/20170513043122/https://www.bea.gov/newsreleases/regional/gdp_state/2017/pdf/qgsp0517.pdf|archive-date=2017-05-13|url-status=live}}</ref>
| align="right"|12.8
| align="right"|63.0
| [[Ֆիլադելֆիա]]
|-
|29
|[[Կառնատակա]]
| {{IND}}
| [[Ասիա]]
| style="text-align:right;" |755.5
| 2019
| align="right"|66.2
| align="right"|10.0
| [[Բանգալոր]]
|-
|30
| '''[[Մեծ Լոնդոն]]'''
| {{GBR}}
| [[Եվրոպա]]
| align="right"|748.5
| 2018<ref>https://www.ons.gov.uk/economy/grossdomesticproductgdp/bulletins/regionaleconomicactivitybygrossdomesticproductuk/1998to2018/pdf</ref>
| align="right"|8.9
| align="right"|84.1
| [[Լոնդոն]]
|-
|31
| [[Uttar Pradesh]]
| {{IND}}
| [[Ասիա]]
| style="text-align:right;" |742.2
| 2018<ref>{{cite web|url=http://www.prsindia.org/uploads/media/State%20Budget%202018-19/Uttar%20Pradesh%20Budget%20Analysis%202018-19.pdf|title=Uttar Pradesh State Budget|access-date=2018-03-28|archive-url=https://web.archive.org/web/20180221100915/http://www.prsindia.org/uploads/media/State%20Budget%202018-19/Uttar%20Pradesh%20Budget%20Analysis%202018-19.pdf|archive-date=2018-02-21|url-status=dead}}</ref>
| align="right"|228
| align="right"|3.6
| [[Lucknow]]
|-
|32
| [[Anhui]]
| {{CHN}}
| [[Ասիա]]
| align="right"|741.0
| 2018<ref name="China2018"/>
| align="right"|62.3
| align="right"|11.4
| [[Hefei]]
|-
|33
| '''{{flag|Ontario}}'''
| {{CAN}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|735.8
| 2018<ref>{{cite web |url=http://www.fin.gov.on.ca/en/economy/ecupdates/update.html |title=Ontario Economic Update |website=Fin.gov.on.ca |date=2017-03-24 |accessdate=2017-03-30 |archive-url=https://web.archive.org/web/20170515101513/http://www.fin.gov.on.ca/en/economy/ecupdates/update.html |archive-date=2017-05-15 |url-status=live }}</ref>
| align="right"|14.1
| align="right"|50.0
| [[Toronto]]
|-
|34
| {{flag|Baden-Württemberg}}
| {{GER}}
| [[Եվրոպա]]
| align="right"|688.3
| 2016<ref name=GermanyRef/>
| align="right"|10.9
| align="right"|59.4
| [[Stuttgart]]
|-
|35
| '''{{flag|Moscow}}'''
| {{RUS}}
| [[Եվրոպա]]
| align="right"|680.1
| 2017<ref>{{cite web|url=http://www.gks.ru/free_doc/new_site/vvp/vrp98-16.xlsx|title=Валовой региональный продукт|website=gks.ru|archive-url=https://web.archive.org/web/20180307214234/http://www.gks.ru/free_doc/new_site/vvp/vrp98-16.xlsx|archive-date=2018-03-07|url-status=live}}</ref>
| align="right"|12.6
| align="right"|52.9
| [[Moscow]]
|-
|36
| {{flag|Ohio}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|649.0
| 2017<ref name=":0" />
| align="right"|11.6
| align="right"|56.0
| [[Columbus, Ohio|Columbus]]
|-
|37
| [[Liaoning]]
| {{CHN}}
| [[Ասիա]]
| align="right"|626.5
| 2018<ref name="China2018"/>
| align="right"|43.7
| align="right"|14.7
| [[Shenyang]]
|-
|38
| [[Kyushu region]]
| {{JPN}}
| [[Ասիա]]
| align="right"|614.5
| 2012
| align="right"|13.0
| align="right"|48.3
| [[Fukuoka]]
|-
|39
| [[Shaanxi]]
| {{CHN}}
| [[Ասիա]]
| align="right"|603.6
| 2018<ref name="China2018"/>
| align="right"|38.3
| align="right"|16.4
| [[Xi'an]]
|-
|40
| '''{{flag|Jakarta}}'''
| {{IDN}}
| [[Ասիա]]
| align="right"|597.9
| 2019<ref name="indonesia">{{Cite publication|title=Produk Domestik Regional Bruto Provinsi di Indonesia 2015-2019|author=[[Statistics Indonesia|Badan Pusat Statistik]]|publisher=Badan Pusat Statistik|year=2020|isbn=|location=Jakarta|url=https://www.bps.go.id/publication/2020/04/29/e9011b3155d45d70823c141f/statistik-indonesia-2020.html}}</ref>
| align="right"|10.5
| align="right"|56.5
| [[Jakarta]]
|-
|41
| {{flag|New Jersey}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|589.0
| 2016<ref name=":0" />
| align="right"|8.9
| align="right"|68.0
| [[Newark, New Jersey|Newark]]
|-
|42
| '''{{flag|Lombardy}}'''
| {{ITA}}
| [[Եվրոպա]]
| align="right"|584.6
| 2014<ref name="dati.istat.it">{{cite web |author=OECD |url=http://dati.istat.it/?lang=en |title=Istat Statistics |publisher=Dati.istat.it |date=2015-03-17 |accessdate=2017-03-30 |archive-url=https://web.archive.org/web/20170330042119/http://dati.istat.it/?lang=en |archive-date=2017-03-30 |url-status=live }}</ref>
| align="right"|10.0
| align="right"|62.6
| [[Milan]]
|-
|43
| [[Chongqing]]
| {{CHN}}
| [[Ասիա]]
| align="right"|559.4
| 2019<ref name="China2018"/>
| align="right"|30.5
| align="right"|18.0
| [[Chongqing]]
|-
|44
| '''{{flag|Mexico City}}'''
| {{MEX}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|550.5
| 2018<ref>https://www.mexicocity.com/v/economy</ref>
| align="right"|9.0
| align="right"|89.2
| [[Mexico City]]
|-
|45
| [[Jiangxi]]
| {{CHN}}
| [[Ասիա]]
| align="right"|543.0
| 2018<ref name="China2018"/>
| align="right"|46.1
| align="right"|11.4
| [[Nanchang]]
|-
|46
| {{flag|Georgia (U.S. state)|name=Georgia}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|533.0
| 2016<ref name=":0" />
| align="right"|10.3
| align="right"|49.0
| [[Atlanta]]
|-
|47
| {{flag|North Carolina}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|527.0
| 2016<ref name=":0" />
| align="right"|10.1
| align="right"|50.0
| [[Charlotte, North Carolina|Charlotte]]
|-
|48
| {{flag|Massachusetts}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|516.0
| 2016<ref name=":0" />
| align="right"|6.8
| align="right"|76.0
| [[Boston]]
|-
|49
| {{flag|Michigan}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|505.0
| 2017<ref name=":0" />
| align="right"|10.0
| align="right"|50.0
| [[Detroit]]
|-
|50
| [[Guangxi]]
| {{CHN}}
| [[Ասիա]]
| align="right"|503.8
| 2018<ref name="China2018"/>
| align="right"|48.6
| align="right"|9.8
| [[Nanning]]
|-
|51
| {{flag|Virginia}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|501.0
| 2016<ref name=":0" />
| align="right"|8.4
| align="right"|56.0
| [[Virginia Beach, Virginia|Virginia Beach]]
|-
|52
| {{flag|East Java}}
| {{IDN}}
| [[Ասիա]]
| align="right"|494.9
| 2019<ref name="indonesia"/>
| align="right"|39.7
| align="right"|12.5
| [[Surabaya]]
|-
|53
| {{flag|Washington}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|477.0
| 2016<ref name=":0" />
| align="right"|7.3
| align="right"|62.0
| [[Seattle]]
|-
|54
| {{flag|Hong Kong}}
| {{CHN}}
| [[Ասիա]]
| align="right"|468.0
| 2019<ref>https://www.imf.org/external/pubs/ft/weo/2019/02/weodata/weorept.aspx?sy=1990&ey=2019&scsm=1&ssd=1&sort=country&ds=.&br=1&pr1.x=29&pr1.y=8&c=546%2C532&s=NGDP%2CNGDPD%2CPPPGDP&grp=0&a=</ref>
| align="right"|7.5
| align="right"|62.6
| [[Hong Kong]]
|-
|55
| '''{{flag|New South Wales}}'''
| {{AUS}}
| [[Australia]]
| align="right"|448.6
| 2017<ref name="AustraliaRef">{{cite web|url=http://www.abs.gov.au/AUSSTATS/abs@.nsf/mf/5220.0|title=Main Features - Main Features|first=c=AU; o=Commonwealth of Australia; ou=Australian Bureau of|last=Statistics|website=www.abs.gov.au|access-date=2013-12-21|archive-url=https://web.archive.org/web/20131209131355/http://www.abs.gov.au/AUSSTATS/abs@.nsf/mf/5220.0|archive-date=2013-12-09|url-status=live}}</ref>
| align="right"|8.0
| align="right"|59.2
| [[Sydney]]
|-
|56
| {{flag|West Java}}
| {{IDN}}
| [[Ասիա]]
| align="right"|447.1
| 2019<ref name="indonesia"/>
| align="right"|49.3
| align="right"|9.1
| [[Bandung]]
|-
|57
| [[Yunnan]]
| {{CHN}}
| [[Ասիա]]
| align="right"|441.6
| 2018<ref name="China2018"/>
| align="right"|47.9
| align="right"|9.8
| [[Kunming]]
|-
|58
|[[Inner Mongolia]]
| {{CHN}}
| [[Ասիա]]
| align="right"|426.9
| 2018<ref name="China2018"/>
| align="right"|25.2
| align="right"|16.4
| [[Baotou]]
|-
|59
| [[Shanxi]]
| {{CHN}}
| [[Ասիա]]
| align="right"|415.5
| 2018<ref name="China2018"/>
| align="right"|36.9
| align="right"|11.4
| [[Taiyuan]]
|-
|60
| {{flag|Maryland}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|414.0
| 2018<ref name=":0" />
| align="right"|6.0
| align="right"|69.0
| [[Baltimore]]
|-
|61
| [[Heilongjiang]]
| {{CHN}}
| [[Ասիա]]
| align="right"|404.0
| 2017<ref name="China2018"/>
| align="right"|37.9
| align="right"|11.4
| [[Harbin]]
|-
|62
| {{flag|Hesse}}
| {{GER}}
| [[Եվրոպա]]
| align="right"|393.8
| 2015<ref name="GermanyRef" />
| align="right"|6.2
| align="right"|58.2
| [[Frankfurt]]
|-
|63
| {{flag|Lower Saxony}}
| {{GER}}
| [[Եվրոպա]]
| align="right"|386.5
| 2015<ref name="GermanyRef" />
| align="right"|7.8
| align="right"|44.8
| [[Hanover]]
|-
|64
| [[Jilin]]
| {{CHN}}
| [[Ասիա]]
| align="right"|372.9
| 2018<ref name="China2018"/>
| align="right"|27.3
| align="right"|13.1
| [[Changchun]]
|-
|65
| [[Guizhou]]
| {{CHN}}
| [[Ասիա]]
| align="right"|366.4
| 2018<ref name="China2018"/>
| align="right"|35.7
| align="right"|9.8
| [[Guiyang]]
|-
|66
| [[Chugoku Region]]
| {{JPN}}
| [[Ասիա]]
| align="right"|357.7
| 2012<ref name="esri.cao.go.jp"/>
| align="right"|7.6
| align="right"|49.4
| [[Hiroshima]]
|-
|67
| '''{{flag|Madrid}}'''
| {{ESP}}
| [[Եվրոպա]]
| align="right"|356.4
| 2017<ref name="ReferenceA"/>
| align="right"|6.5
| align="right"|54.2
| [[Madrid]]
|-
|68
| {{flag|Catalonia}}
| {{flag|Spain}}
| [[Եվրոպա]]
| align="right"|356.4
| 2017<ref name="ReferenceA"/>
| align="right"|7.5
| align="right"|48.5
| [[Barcelona]]
|-
|69
| '''{{flag|Abu Dhabi}}'''
| {{UAE}}
| [[Ասիա]]
| align="right"|348.7
| 2014<ref>{{cite web|url=https://www.abudhabi.ae/portal/public/en/abu_dhabi_emirate/facts_figure_background?_adf.ctrl-state=pip061qpr_4&_afrLoop=18652570093766500#! |title=Abu Dhabi Emirate: Facts and Figures |website=Abudhabi.ae |date=2017-03-15 |accessdate=2017-03-30}}</ref>
| align="right"|2.7
| align="right"|129.7
| [[Abu Dhabi]]
|-
|70
| {{flag|Quebec}}
| {{CAN}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|347.9
| 2016<ref name="www5.statcan.gc.ca">{{cite web |url=http://www5.statcan.gc.ca/cansim/a46?lang=eng&childId=3840038&CORId=3764&viewId=3 |title=CANSIM - 384-0038 - Gross domestic product, expenditure-based, provincial and territorial |website=Statcan.gc.ca |accessdate=2017-03-30 |archive-url=https://web.archive.org/web/20180530085938/http://www5.statcan.gc.ca/cansim/a46?lang=eng&childId=3840038&CORId=3764&viewId=3 |archive-date=2018-05-30 |url-status=dead }}</ref>
| align="right"|8.2
| align="right"|41.1
| [[Montreal]]
|-
|71
| {{flag|Indiana}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|347.0
| 2016<ref name=":0" />
| align="right"|6.6
| align="right"|50.0
| [[Indianapolis]]
|-
|72
| {{flag|Victoria}}
| {{AUS}}
| [[Australia]]
| align="right"|342.8
| 2017<ref name="AustraliaRef"/>
| align="right"|6.2
| align="right"|58.3
| [[Melbourne]]
|-
|73
| {{flag|Minnesota}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|341.0
| 2016<ref name=":0" />
| align="right"|5.5
| align="right"|60.0
| [[Minneapolis]]
|-
|74
| {{flag|Tennessee}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|334.0
| 2016<ref name=":0" />
| align="right"|6.7
| align="right"|47.0
| [[Nashville, Tennessee|Nashville]]
|-
|75
| [[Tianjin]]
| {{CHN}}
| [[Ասիա]]
| align="right"|333.7
| 2019<ref name="China2019"/>
| align="right"|15.6
| align="right"|26.2
| [[Tianjin]]
|-
|76
| {{flag|Colorado}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|330.0
| 2016<ref name=":0" />
| align="right"|5.5
| align="right"|58.0
| [[Denver]]
|-
|77
| {{flag|Auvergne-Rhône-Alpes}}
| {{FRA}}
| [[Եվրոպա]]
| align="right"|321.1
| 2014<ref name="ec.europa.eu">{{cite web|url=http://ec.europa.eu/eurostat/documents/2995521/7192292/1-26022016-AP-EN.pdf/602b34e8-abba-439e-b555-4c3cb1dbbe6e |title=Archived copy |accessdate=2016-02-28 |url-status=dead |archiveurl=https://web.archive.org/web/20160229124049/http://ec.europa.eu/eurostat/documents/2995521/7192292/1-26022016-AP-EN.pdf/602b34e8-abba-439e-b555-4c3cb1dbbe6e |archivedate=2016-02-29 }}</ref>
| align="right"|7.7
| align="right"|42.7
| [[Lyon]]
|-
|78
| {{flag|Wisconsin}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|314.0
| 2016<ref name=":0" />
| align="right"|5.8
| align="right"|50.0
| [[Milwaukee]]
|-
|79
| {{flag|Arizona}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|309.0
| 2016<ref name=":0" />
| align="right"|6.9
| align="right"|43.0
| [[Phoenix, Arizona|Phoenix]]
|-
|80
| {{flag|Missouri}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|305.0
| 2017<ref name=":0" />
| align="right"|6.1
| align="right"|50.0
| [[Kansas City]]
|-
|81
| {{flag|Queensland}}
| {{AUS}}
| [[Australia]]
| align="right"|291.3
| 2017<ref name="AustraliaRef"/>
| align="right"|5.0
| align="right"|64.3
| [[Brisbane]]
|-
|82
| {{flag|Central Java}}
| {{IDN}}
| [[Ասիա]]
| align="right"|286.6
| 2019<ref name="indonesia"/>
| align="right"|34.7
| align="right"|8.3
| [[Semarang]]
|-
|83
| {{flag|Connecticut}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|286.0
| 2019<ref name=":0" />
| align="right"|3.6
| align="right"|79.0
| [[Bridgeport, Connecticut|Bridgeport]]
|-
|84
| {{flag|Alberta}}
| {{CAN}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|277.9
| 2016<ref name="www5.statcan.gc.ca" />
| align="right"|3.6
| align="right"|71.1
| [[Calgary]]
|-
|85
| {{flag|Lazio}}
| {{ITA}}
| [[Եվրոպա]]
| align="right"|266.3
| 2015<ref name="europa.eu">{{Cite web |url=http://ec.europa.eu/eurostat/documents/2995521/7962764/1-30032017-AP-EN.pdf/4e9c09e5-c743-41a5-afc8-eb4aa89913f6 |title=Archived copy |access-date=2018-02-03 |archive-url=https://web.archive.org/web/20170402074543/http://ec.europa.eu/eurostat/documents/2995521/7962764/1-30032017-AP-EN.pdf/4e9c09e5-c743-41a5-afc8-eb4aa89913f6 |archive-date=2017-04-02 |url-status=live }}</ref>
| align="right"|5.9
| align="right"|45.3
| [[Rome]]
|-
|86
| {{flag|Louisiana}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|238.0
| 2016<ref name=":0" />
| align="right"|4.7
| align="right"|56.0
| [[New Orleans]]
|-
|87
| {{flag|Hokkaido}}
| {{JPN}}
| [[Ասիա]]
| align="right"|234.2
| 2012<ref name="esri.cao.go.jp">{{cite web|url=http://www.esri.cao.go.jp/jp/sna/data/data_list/kenmin/files/contents/pdf/gaiyou1.pdf |title=Archived copy |accessdate=2013-09-13 |url-status=dead |archiveurl=https://web.archive.org/web/20130913123113/http://www.esri.cao.go.jp/jp/sna/data/data_list/kenmin/files/contents/pdf/gaiyou1.pdf |archivedate=2013-09-13 }}</ref><ref name="autogenerated1">{{cite web|url=http://www.esri.cao.go.jp/jp/sna/data/data_list/sokuhou/files/2013/qe131_2/pdf/jikei_1.pdf |title=Archived copy |accessdate=2013-06-10 |url-status=dead |archiveurl=https://web.archive.org/web/20130810032926/http://www.esri.cao.go.jp/jp/sna/data/data_list/sokuhou/files/2013/qe131_2/pdf/jikei_1.pdf |archivedate=2013-08-10 }}</ref>
| align="right"|5.5
| align="right"|45.1
| [[Sapporo]]
|-
|88
| {{flag|British Columbia}}
| {{CAN}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|233.4
| 2016<ref name="www5.statcan.gc.ca" />
| align="right"|4.4
| align="right"|55.6
| [[Vancouver]]
|-
|89
| {{flag|Oregon}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|230.0
| 2016<ref name=":0" />
| align="right"|4.1
| align="right"|56.0
| [[Portland, Oregon|Portland]]
|-
|90
| {{flag|South Carolina}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|213.0
| 2016<ref name=":0" />
| align="right"|5.0
| align="right"|40.0
| [[Charleston, South Carolina|Charleston]]
|-
|91
| {{flag|Alabama}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|208.0
| 2016<ref name=":0" />
| align="right"|4.9
| align="right"|43.0
| [[Birmingham, Alabama|Birmingham]]
|-
|92
| {{flag|Western Australia}}
| {{AUS}}
| [[Australia]]
| align="right"|207.8
| 2017<ref name="AustraliaRef" />
| align="right"|2.7
| align="right"|76.7
| [[Perth]]
|-
|93
| {{flag|Kentucky}}
| {{USA}}
| [[Հյուսիսային Ամերիկա]]
| align="right"|202.0
| 2016<ref name=":0" />
| align="right"|4.4
| align="right"|42.0
| [[Louisville, Kentucky|Louisville]]
|-
|}
| |||