<P> As an alternative to the metropolitan area, Eurostat introduced the concept of the Larger Urban Zone in 2004 . Similarly, OECD defines Functional Urban Areas for cities in OECD countries . Both Larger Urban Zone and Functional Urban Area define a city as an urban core surrounded by a commuting zone, and so are similar to the general concept of the "metropolitan area". Eurostat only computes Larger Urban Zone populations for European Union member states, candidate members, and European Free Trade Area members . OECD computes Functional Urban Area populations for OECD member states . These two statistics are therefore not available for most developing countries . </P> <P> Note: Due to a lack of accurate governmental data, this list is incomplete . </P> <Table> <Tr> <Th> Rank </Th> <Th> Metropolitan </Th> <Th> Country </Th> <Th> Official population </Th> <Th> Year </Th> </Tr> <Tr> <Td> </Td> <Td> Tokyo </Td> <Td> Japan </Td> <Td> 7007378328920000000 ♠ 37,832,892 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> </Td> <Td> Shanghai </Td> <Td> China </Td> <Td> 7007348652520000000 ♠ 34,865,252 </Td> <Td> </Td> </Tr> <Tr> <Td> </Td> <Td> Jakarta </Td> <Td> Indonesia </Td> <Td> 7007316895920000000 ♠ 31,689,592 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> </Td> <Td> Delhi </Td> <Td> India </Td> <Td> 7007264540000000000 ♠ 26,454,000 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 5 </Td> <Td> Seoul </Td> <Td> South Korea </Td> <Td> 7007255140000000000 ♠ 25,514,000 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 6 </Td> <Td> Karachi </Td> <Td> Pakistan </Td> <Td> 7007251000000000000 ♠ 25,100,000 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 7 </Td> <Td> Guangzhou </Td> <Td> China </Td> <Td> 7007250000000000000 ♠ 25,000,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 8 </Td> <Td> Beijing </Td> <Td> China </Td> <Td> 7007249000000000000 ♠ 24,900,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 9 </Td> <Td> Shenzhen </Td> <Td> China </Td> <Td> 7007233000000000000 ♠ 23,300,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 10 </Td> <Td> Mexico City </Td> <Td> Mexico </Td> <Td> 7007214970290000000 ♠ 21,497,029 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 11 </Td> <Td> São Paulo </Td> <Td> Brazil </Td> <Td> 7007212429390000000 ♠ 21,242,939 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 12 </Td> <Td> Lagos </Td> <Td> Nigeria </Td> <Td> 7007210000000000000 ♠ 21,000,000 </Td> <Td> 2014 </Td> </Tr> <Tr> <Td> 13 </Td> <Td> Mumbai </Td> <Td> India </Td> <Td> 7007207483950000000 ♠ 20,748,395 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 14 </Td> <Td> Cairo </Td> <Td> Egypt </Td> <Td> 7007205000000000000 ♠ 20,500,000 </Td> <Td> 2012 </Td> </Tr> <Tr> <Td> 15 </Td> <Td> New York </Td> <Td> United States </Td> <Td> 7007201536340000000 ♠ 20,153,634 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 16 </Td> <Td> Keihanshin (Kyoto - Osaka - Kobe) </Td> <Td> Japan </Td> <Td> 7007193420000000000 ♠ 19,342,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 17 </Td> <Td> Moscow </Td> <Td> Russia </Td> <Td> 7007190000000000000 ♠ 19,000,000 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 18 </Td> <Td> Wuhan </Td> <Td> China </Td> <Td> 7007190000000000000 ♠ 19,000,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 19 </Td> <Td> Chengdu </Td> <Td> China </Td> <Td> 7007181000000000000 ♠ 18,100,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 20 </Td> <Td> Dhaka </Td> <Td> Bangladesh </Td> <Td> 7007171519250000000 ♠ 17,151,925 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 21 </Td> <Td> Chongqing </Td> <Td> China </Td> <Td> 7007170000000000000 ♠ 17,000,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 22 </Td> <Td> Tianjin </Td> <Td> China </Td> <Td> 7007154000000000000 ♠ 15,400,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 23 </Td> <Td> Istanbul </Td> <Td> Turkey </Td> <Td> 7007150292310000000 ♠ 15,029,231 </Td> <Td> 2017 </Td> </Tr> <Tr> <Td> 24 </Td> <Td> Bangkok </Td> <Td> Thailand </Td> <Td> 7007146262250000000 ♠ 14,626,225 </Td> <Td> </Td> </Tr> <Tr> <Td> 25 </Td> <Td> Kolkata </Td> <Td> India </Td> <Td> 7007146178820000000 ♠ 14,617,882 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 26 </Td> <Td> Tehran </Td> <Td> Iran </Td> <Td> 7007145959040000000 ♠ 14,595,904 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 27 </Td> <Td> London </Td> <Td> United Kingdom </Td> <Td> 7007140401630000000 ♠ 14,040,163 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 28 </Td> <Td> Hangzhou </Td> <Td> China </Td> <Td> 7007134000000000000 ♠ 13,400,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 29 </Td> <Td> Los Angeles </Td> <Td> United States </Td> <Td> 7007133104470000000 ♠ 13,310,447 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 30 </Td> <Td> Buenos Aires </Td> <Td> Argentina </Td> <Td> 7007130740000000000 ♠ 13,074,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 31 </Td> <Td> Xi'an </Td> <Td> China </Td> <Td> 7007129000000000000 ♠ 12,900,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 32 </Td> <Td> Manila </Td> <Td> Philippines </Td> <Td> 7007128772530000000 ♠ 12,877,253 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 33 </Td> <Td> Changzhou (Chang - Zhu - Tan) </Td> <Td> China </Td> <Td> 7007124000000000000 ♠ 12,400,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 34 </Td> <Td> Rio de Janeiro </Td> <Td> Brazil </Td> <Td> 7007123301860000000 ♠ 12,330,186 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 35 </Td> <Td> Paris </Td> <Td> France </Td> <Td> 7007121428020000000 ♠ 12,142,802 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 36 </Td> <Td> Shantou </Td> <Td> China </Td> <Td> 7007120000000000000 ♠ 12,000,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 37 </Td> <Td> Nanjing </Td> <Td> China </Td> <Td> 7007117000000000000 ♠ 11,700,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 38 </Td> <Td> Rhine - Ruhr </Td> <Td> Germany </Td> <Td> 7007114717320000000 ♠ 11,471,732 </Td> <Td> 2006 </Td> </Tr> <Tr> <Td> 39 </Td> <Td> Jinan </Td> <Td> China </Td> <Td> 7007110000000000000 ♠ 11,000,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 40 </Td> <Td> Chennai </Td> <Td> India </Td> <Td> 7007105761670000000 ♠ 10,576,167 </Td> <Td> 2014 </Td> </Tr> <Tr> <Td> 41 </Td> <Td> Harbin </Td> <Td> China </Td> <Td> 7007105000000000000 ♠ 10,500,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 42 </Td> <Td> Lahore </Td> <Td> Pakistan </Td> <Td> 7007100520000000000 ♠ 10,052,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 43 </Td> <Td> Lima </Td> <Td> Peru </Td> <Td> 7006988664700000000 ♠ 9,886,647 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 44 </Td> <Td> Zhengzhou </Td> <Td> China </Td> <Td> 7006970000000000000 ♠ 9,700,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 45 </Td> <Td> Johannesburg </Td> <Td> South Africa </Td> <Td> 9,616,000 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 46 </Td> <Td> Qingdao </Td> <Td> China </Td> <Td> 7006960000000000000 ♠ 9,600,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 47 </Td> <Td> Chicago </Td> <Td> United States </Td> <Td> 7006951299900000000 ♠ 9,512,999 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 48 </Td> <Td> Bogotá </Td> <Td> Colombia </Td> <Td> 7006928622500000000 ♠ 9,286,225 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 49 </Td> <Td> Chūkyō (Nagoya) </Td> <Td> Japan </Td> <Td> 7006910700000000000 ♠ 9,107,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 50 </Td> <Td> Bangalore </Td> <Td> India </Td> <Td> 7006891774900000000 ♠ 8,917,749 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 51 </Td> <Td> Bandung </Td> <Td> Indonesia </Td> <Td> 7006849592800000000 ♠ 8,495,928 </Td> <Td> 2014 </Td> </Tr> <Tr> <Td> 52 </Td> <Td> Busan </Td> <Td> South Korea </Td> <Td> 7006820223900000000 ♠ 8,202,239 </Td> <Td> 2014 </Td> </Tr> <Tr> <Td> 53 </Td> <Td> Hyderabad </Td> <Td> India </Td> <Td> 7006774933400000000 ♠ 7,749,334 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 54 </Td> <Td> Riyadh </Td> <Td> Saudi Arabia </Td> <Td> 7006773957000000000 ♠ 7,739,570 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 55 </Td> <Td> Shenyang </Td> <Td> China </Td> <Td> 7006770000000000000 ♠ 7,700,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 56 </Td> <Td> Wenzhou </Td> <Td> China </Td> <Td> 7006760000000000000 ♠ 7,600,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 57 </Td> <Td> Milan </Td> <Td> Italy </Td> <Td> 7006750000000000000 ♠ 7,500,000 </Td> <Td> 2006 </Td> </Tr> <Tr> <Td> 58 </Td> <Td> Nanchang </Td> <Td> China </Td> <Td> 7006740000000000000 ♠ 7,400,000 </Td> <Td> </Td> </Tr> <Tr> <Td> 59 </Td> <Td> Yangon </Td> <Td> Myanmar </Td> <Td> 7006736070300000000 ♠ 7,360,703 </Td> <Td> 2014 </Td> </Tr> <Tr> <Td> 60 </Td> <Td> Hong Kong </Td> <Td> Hong Kong </Td> <Td> 7006729860000000000 ♠ 7,298,600 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 61 </Td> <Td> Dallas--Fort Worth </Td> <Td> United States </Td> <Td> 7006723332300000000 ♠ 7,233,323 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 62 </Td> <Td> Randstad </Td> <Td> Netherlands </Td> <Td> 7006710000000000000 ♠ 7,100,000 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 63 </Td> <Td> Taipei--Keelung </Td> <Td> Taiwan </Td> <Td> 7006704548800000000 ♠ 7,045,488 </Td> <Td> 2013 </Td> </Tr> <Tr> <Td> 64 </Td> <Td> Houston </Td> <Td> United States </Td> <Td> 7006677247000000000 ♠ 6,772,470 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 65 </Td> <Td> Santiago </Td> <Td> Chile </Td> <Td> 7006668385200000000 ♠ 6,683,852 </Td> <Td> 2012 </Td> </Tr> <Tr> <Td> 66 </Td> <Td> Luanda </Td> <Td> Angola </Td> <Td> 7006654294400000000 ♠ 6,542,944 </Td> <Td> 2014 </Td> </Tr> <Tr> <Td> 67 </Td> <Td> Surabaya </Td> <Td> Indonesia </Td> <Td> 7006648420600000000 ♠ 6,484,206 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 68 </Td> <Td> Madrid </Td> <Td> Spain </Td> <Td> 7006642427500000000 ♠ 6,424,275 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 69 </Td> <Td> Ahmedabad </Td> <Td> India </Td> <Td> 7006635225400000000 ♠ 6,352,254 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 70 </Td> <Td> Washington, D.C. </Td> <Td> United States </Td> <Td> 7006613197700000000 ♠ 6,131,977 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 71 </Td> <Td> Philadelphia </Td> <Td> United States </Td> <Td> 7006607050000000000 ♠ 6,070,500 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 72 </Td> <Td> Miami </Td> <Td> United States </Td> <Td> 7006606638700000000 ♠ 6,066,387 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 73 </Td> <Td> Berlin / Brandenburg </Td> <Td> Germany </Td> <Td> 7006600485700000000 ♠ 6,004,857 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 74 </Td> <Td> Toronto </Td> <Td> Canada </Td> <Td> 7006592804000000000 ♠ 5,928,040 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 75 </Td> <Td> Munich </Td> <Td> Germany </Td> <Td> 7006590000000000000 ♠ 5,900,000 </Td> <Td> 2014 </Td> </Tr> <Tr> <Td> 76 </Td> <Td> Belo Horizonte </Td> <Td> Brazil </Td> <Td> 7006587384100000000 ♠ 5,873,841 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 77 </Td> <Td> Amaravati </Td> <Td> India </Td> <Td> 7006587358800000000 ♠ 5,873,588 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 78 </Td> <Td> Frankfurt Rhine - Main </Td> <Td> Germany </Td> <Td> 7006582152300000000 ♠ 5,821,523 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 79 </Td> <Td> Atlanta </Td> <Td> United States </Td> <Td> 7006578970000000000 ♠ 5,789,700 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 80 </Td> <Td> Singapore </Td> <Td> Singapore </Td> <Td> 7006553500000000000 ♠ 5,535,000 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 81 </Td> <Td> Barcelona </Td> <Td> Spain </Td> <Td> 7006544590400000000 ♠ 5,445,904 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 82 </Td> <Td> Ankara </Td> <Td> Turkey </Td> <Td> 7006534651800000000 ♠ 5,346,518 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 83 </Td> <Td> Caracas </Td> <Td> Venezuela </Td> <Td> 7006532231000000000 ♠ 5,322,310 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 84 </Td> <Td> Dubai - Sharjah - Ajman </Td> <Td> United Arab Emirates </Td> <Td> 7006530000000000000 ♠ 5,300,000 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 85 </Td> <Td> Stuttgart </Td> <Td> Germany </Td> <Td> 7006530000000000000 ♠ 5,300,000 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 86 </Td> <Td> Hamburg </Td> <Td> Germany </Td> <Td> 7006510000000000000 ♠ 5,100,000 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 87 </Td> <Td> Pune </Td> <Td> India </Td> <Td> 7006504996800000000 ♠ 5,049,968 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 88 </Td> <Td> Sydney </Td> <Td> Australia </Td> <Td> 7006500540000000000 ♠ 5,005,400 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 89 </Td> <Td> Guadalajara </Td> <Td> Mexico </Td> <Td> 7006490928700000000 ♠ 4,909,287 </Td> <Td> 2017 </Td> </Tr> <Tr> <Td> 90 </Td> <Td> Boston </Td> <Td> United States </Td> <Td> 7006479444700000000 ♠ 4,794,447 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 91 </Td> <Td> San Francisco--Oakland </Td> <Td> United States </Td> <Td> 7006467916600000000 ♠ 4,679,166 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 92 </Td> <Td> Phoenix </Td> <Td> United States </Td> <Td> 7006466153700000000 ♠ 4,661,537 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 93 </Td> <Td> Melbourne </Td> <Td> Australia </Td> <Td> 7006464163600000000 ♠ 4,641,636 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 94 </Td> <Td> Surat </Td> <Td> India </Td> <Td> 7006458536700000000 ♠ 4,585,367 </Td> <Td> 2011 </Td> </Tr> <Tr> <Td> 95 </Td> <Td> Riverside - San Bernardino </Td> <Td> United States </Td> <Td> 7006452783700000000 ♠ 4,527,837 </Td> <Td> 2014 </Td> </Tr> <Tr> <Td> 96 </Td> <Td> Monterrey </Td> <Td> Mexico </Td> <Td> 7006447761400000000 ♠ 4,477,614 </Td> <Td> 2015 </Td> </Tr> <Tr> <Td> 97 </Td> <Td> Rome </Td> <Td> Italy </Td> <Td> 7006434047400000000 ♠ 4,340,474 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 98 </Td> <Td> Detroit </Td> <Td> United States </Td> <Td> 7006429761700000000 ♠ 4,297,617 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 99 </Td> <Td> Montreal </Td> <Td> Canada </Td> <Td> 7006409892700000000 ♠ 4,098,927 </Td> <Td> 2016 </Td> </Tr> <Tr> <Td> 100 </Td> <Td> Athens </Td> <Td> Greece </Td> <Td> 7006382284300000000 ♠ 3,822,843 </Td> <Td> 2015 </Td> </Tr> </Table> <Tr> <Th> Rank </Th> <Th> Metropolitan </Th> <Th> Country </Th> <Th> Official population </Th> <Th> Year </Th> </Tr>

List of most populated metropolitan areas in the world
find me the text answering this question