Langbahn Team – Weltmeisterschaft

List of cities proper by population: Difference between revisions

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The 10 million figure is from Demographia which uses urban area not city proper. Using the data listed by the source. Rm Faisalabad. See talk.
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|-
|-
|13
|13
| [[Lahore]]
| [[File:Kalma Underpass1.jpg|125px]]
| {{nts|10,052,000}}<ref name="pakistan" />
| [[Lahore District|City District]]
| {{nts|1772}}<ref name="pakistan">{{cite web|url=http://www.geohive.com/cntry/pakistan.aspx|title=Lahore City District – Lahore City Tehsil|publisher=GeoHive|accessdate=10 March 2014}}</ref>
| {{pop density|10052000|1772|km2|disp=num|prec=0}}
| {{PAK}}
|-
|14
| [[Seoul]]
| [[Seoul]]
| [[File:View of YangJe-Cheon.jpg|125px]]
| [[File:View of YangJe-Cheon.jpg|125px]]
Line 153: Line 144:
| {{KOR}}
| {{KOR}}
|-
|-
|15
|14
| [[Guangzhou]]
| [[Guangzhou]]
| [[File:Guangzhou skyline.jpg|125px]]
| [[File:Guangzhou skyline.jpg|125px]]
Line 163: Line 154:
| {{CHN}}
| {{CHN}}
|-
|-
|16
|15
| [[Kinshasa]]
| [[Kinshasa]]
| [[File:Kinshasa-Gombe, from CCIC.JPG|125px]]
| [[File:Kinshasa-Gombe, from CCIC.JPG|125px]]
Line 172: Line 163:
| {{COD}}
| {{COD}}
|-
|-
|17
|16
| [[Cairo]]
| [[Cairo]]
| [[File:Kairo 001.jpg|125px]]
| [[File:Kairo 001.jpg|125px]]
Line 181: Line 172:
| {{EGY}}
| {{EGY}}
|-
|-
|18
|17
| [[Mexico City]]
| [[Mexico City]]
| [[File:Ciudad.de.Mexico.City.Distrito.Federal.DF.Paseo.Reforma.Skyline.jpg|125px]]
| [[File:Ciudad.de.Mexico.City.Distrito.Federal.DF.Paseo.Reforma.Skyline.jpg|125px]]
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| {{MEX}}
| {{MEX}}
|-
|-
|19
|18
| [[Lima]]
| [[Lima]]
| [[File:City_of_Lima,_Peru.jpg|125px]]
| [[File:City_of_Lima,_Peru.jpg|125px]]
Line 199: Line 190:
| {{PER}}
| {{PER}}
|-
|-
|20
|19
| [[London]]
| [[London]]
| [[File:Canary Wharf Skyline 2, London UK - Oct 2012.jpg|125px]]
| [[File:Canary Wharf Skyline 2, London UK - Oct 2012.jpg|125px]]
Line 208: Line 199:
| {{UK}}
| {{UK}}
|-
|-
|21
|20
| [[New York City]]
| [[New York City]]
| [[File:LowerManhattanSept2013.png|125px]]
| [[File:LowerManhattanSept2013.png|125px]]
Line 217: Line 208:
| {{USA}}
| {{USA}}
|-
|-
|22
|21
| [[Bengaluru]]
| [[Bengaluru]]
| [[File:UB City.jpg|125px]]
| [[File:UB City.jpg|125px]]
Line 226: Line 217:
| {{IND}}
| {{IND}}
|-
|-
|23
|22
| [[Bangkok]]
| [[Bangkok]]
| [[File:The Baiyoke Tower II in Bangkok, Thailand.jpg|125px]]
| [[File:The Baiyoke Tower II in Bangkok, Thailand.jpg|125px]]
Line 235: Line 226:
| {{THA}}
| {{THA}}
|-
|-
|24
|23
| [[Dongguan]]
| [[Dongguan]]
| [[File:Dongguan -03.jpg|125px]]
| [[File:Dongguan -03.jpg|125px]]
Line 244: Line 235:
| {{CHN}}
| {{CHN}}
|-
|-
|25
|24
| [[Chongqing]]
| [[Chongqing]]
| [[File:SkylineOfChongqing.jpg|125px]]
| [[File:SkylineOfChongqing.jpg|125px]]
Line 253: Line 244:
| {{CHN}}
| {{CHN}}
|-
|-
|26
|25
| [[Nanjing]]
| [[Nanjing]]
| [[File:Nanjingpanorama001.jpg|125px]]
| [[File:Nanjingpanorama001.jpg|125px]]
Line 262: Line 253:
| {{CHN}}
| {{CHN}}
|-
|-
|27
|26
| [[Tehran]]
| [[Tehran]]
| [[File:North Tehran Towers.jpg|125px]]
| [[File:North Tehran Towers.jpg|125px]]
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| {{IRN}}
| {{IRN}}
|-
|-
|28
|27
| [[Shenyang]]
| [[Shenyang]]
| [[File:Shenyang Qingnian Street.JPG|125px]]
| [[File:Shenyang Qingnian Street.JPG|125px]]
Line 280: Line 271:
| {{CHN}}
| {{CHN}}
|-
|-
|29
|28
| [[Bogotá]]
| [[Bogotá]]
| [[File:Centro-Internacional-Bogotá.jpg|125px]]
| [[File:Centro-Internacional-Bogotá.jpg|125px]]
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| {{COL}}
| {{COL}}
|-
|-
|30
|29
| [[Ho Chi Minh City]]
| [[Ho Chi Minh City]]
| [[File:Một khúc sông Sài Gòn.JPG|125px]]
| [[File:Một khúc sông Sài Gòn.JPG|125px]]
Line 299: Line 290:
| {{VIE}}
| {{VIE}}
|-
|-
|31
|30
| [[Ningbo]]
| [[Ningbo]]
| [[File:Juncture_of_three_main_rivers_in_Ningbo_China.jpg|125px]]
| [[File:Juncture_of_three_main_rivers_in_Ningbo_China.jpg|125px]]
Line 308: Line 299:
| {{CHN}}
| {{CHN}}
|-
|-
|32
|31
| [[Hong Kong]]
| [[Hong Kong]]
| [[File:Hong Kong view from The Peak 01.jpg|125px]]
| [[File:Hong Kong view from The Peak 01.jpg|125px]]
Line 317: Line 308:
| {{CHN}}
| {{CHN}}
|-
|-
|33
|32
| [[Baghdad]]
| [[Baghdad]]
| [[File:Haifa street, as seen from the medical city hospital across the tigres.jpg|125px]]
| [[File:Haifa street, as seen from the medical city hospital across the tigres.jpg|125px]]
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| {{IRQ}}
| {{IRQ}}
|-
|-
|34
|33
|[[Changsha]]
|[[Changsha]]
| [[File:The Huángxīng Lù Commercial Pedestrian Street in Changsha.jpg|125px]]
| [[File:The Huángxīng Lù Commercial Pedestrian Street in Changsha.jpg|125px]]
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|{{CHN}}
|{{CHN}}
|-
|-
|35
|34
| [[Dhaka]]
| [[Dhaka]]
| [[File:Dhaka-skyline-aymash.jpg|125px]]
| [[File:Dhaka-skyline-aymash.jpg|125px]]
Line 344: Line 335:
| {{BAN}}
| {{BAN}}
|-
|-
|36
|35
| [[Wuhan]]
| [[Wuhan]]
| [[File:WuhanSkyline.jpg|125px]]
| [[File:WuhanSkyline.jpg|125px]]
Line 353: Line 344:
| {{CHN}}
| {{CHN}}
|-
|-
|37
|36
| [[Tianjin]]
| [[Tianjin]]
| [[File:炫彩津门99海河夜景.jpg|125px]]
| [[File:炫彩津门99海河夜景.jpg|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|38
|37
| [[Hyderabad]]
| [[Hyderabad]]
| [[File:MindSpace campus in Hyderabad, India.jpg|125px]]
| [[File:MindSpace campus in Hyderabad, India.jpg|125px]]
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| {{IND}}
| {{IND}}
|-
|-
|39
|38
| [[Hanoi]]
| [[Hanoi]]
| [[File:Hanoi Cityscape.jpg|125px]]
| [[File:Hanoi Cityscape.jpg|125px]]
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| {{VIE}}
| {{VIE}}
|-
|-
|40
|39
| [[Faisalabad]]
| [[File:Clock_Tower_Faisalabad_by_Usman_Nadeem.jpg|125px]]
| {{nts|6480765}}<ref>http://phonebookoftheworld.com/faisalabad/</ref>
| [[City District]]
| {{nts|237}}
| {{pop density|6440765|237.27|km2|disp=num|prec=0}}
| {{PAK}}
|-
|41
| [[Rio de Janeiro]]
| [[Rio de Janeiro]]
| [[File:Vista aérea Centro do Rio de Janeiro RJ.jpg|125px]]
| [[File:Vista aérea Centro do Rio de Janeiro RJ.jpg|125px]]
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| {{BRA}}
| {{BRA}}
|-
|-
|42
|40
| [[Lahore]]
| [[File:Kalma Underpass1.jpg|125px]]
| {{nts|6318745}}<ref name="pakistan" />
| [[Lahore District|City District]]
| {{nts|1772}}<ref name="pakistan">{{cite web|url=http://www.geohive.com/cntry/pakistan.aspx|title=Lahore City District – Lahore City Tehsil|publisher=GeoHive|accessdate=10 March 2014}}</ref>
| {{pop density|10052000|1772|km2|disp=num|prec=0}}
| {{PAK}}
|-
|41
| [[Foshan]]
| [[Foshan]]
| [[File:Downtown of Guicheng.jpg|125px]]
| [[File:Downtown of Guicheng.jpg|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|43
|42
| [[Zunyi]]
| [[Zunyi]]
| [[File:Zunyi.JPG|125px]]
| [[File:Zunyi.JPG|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|44
|43
| [[Santiago]]
| [[Santiago]]
| [[File:Santiago de Chile.jpg|125px]]
| [[File:Santiago de Chile.jpg|125px]]
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| {{CHI}}
| {{CHI}}
|-
|-
|45
|44
| [[Riyadh]]
| [[Riyadh]]
| [[File:Riyadh 1337.jpg|125px]]
| [[File:Riyadh 1337.jpg|125px]]
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| {{KSA}}
| {{KSA}}
|-
|-
|46
|45
| [[Ahmedabad]]
| [[Ahmedabad]]
| [[File:Amdavad Aerial.jpg|125px]]
| [[File:Amdavad Aerial.jpg|125px]]
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| {{IND}}
| {{IND}}
|-
|-
|47
|46
| [[Singapore]]
| [[Singapore]]
| [[File:Singapore CBD skyline from Esplanade at dusk.jpg|125px]]
| [[File:Singapore CBD skyline from Esplanade at dusk.jpg|125px]]
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| {{SIN}}
| {{SIN}}
|-
|-
|48
|47
| [[Shantou]]
| [[Shantou]]
| [[File:China-shantou03.jpg|125px]]
| [[File:China-shantou03.jpg|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|49
|48
| [[Yangon]]
| [[Yangon]]
| [[File:Downtown Yangon (2006).jpg|125px]]
| [[File:Downtown Yangon (2006).jpg|125px]]
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| {{MYA}}
| {{MYA}}
|-
|-
|50
|49
| [[Saint Petersburg]]
| [[Saint Petersburg]]
| [[File:Petersburg-square.jpg|125px]]
| [[File:Petersburg-square.jpg|125px]]
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| {{RUS}}
| {{RUS}}
|-
|-
|51
|50
| [[Chennai]]
| [[Chennai]]
| [[File:Chennai_India.jpg|125px]]
| [[File:Chennai_India.jpg|125px]]
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| {{IND}}
| {{IND}}
|-
|-
|52
|51
| [[Abidjan]]
| [[Abidjan]]
| [[File:Plateau Centre-est.jpg|125px]]
| [[File:Plateau Centre-est.jpg|125px]]
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| {{CIV}}
| {{CIV}}
|-
|-
|53
|52
| [[Chengdu]]
| [[Chengdu]]
|
|
Line 506: Line 497:
| {{CHN}}
| {{CHN}}
|-
|-
|54
|53
| [[Alexandria]]
| [[Alexandria]]
| [[File:Alexandria - Egypt.jpg|125px]]
| [[File:Alexandria - Egypt.jpg|125px]]
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| {{EGY}}
| {{EGY}}
|-
|-
|55
|54
| [[Kolkata]]
| [[Kolkata]]
| [[File:Victoria_Memorial_Kolkata_panorama.jpg|125px]]
| [[File:Victoria_Memorial_Kolkata_panorama.jpg|125px]]
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| {{IND}}
| {{IND}}
|-
|-
|56
|55
| [[Ankara]]
| [[Ankara]]
| [[File:Ankara and mosque wza.jpg|125px]]
| [[File:Ankara and mosque wza.jpg|125px]]
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| {{TUR}}
| {{TUR}}
|-
|-
|57
|56
| [[Xi'an]]
| [[Xi'an]]
| [[File:1 xian china wild goose pagoda view.JPG|125px]]
| [[File:1 xian china wild goose pagoda view.JPG|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|58
|57
| [[Surat]]
| [[Surat]]
| [[File:GauravPath1.jpg|125px]]
| [[File:GauravPath1.jpg|125px]]
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| {{IND}}
| {{IND}}
|-
|-
|59
|58
| [[Johannesburg]]
| [[Johannesburg]]
| [[File:Johannesburg CBD.jpg|125px]]
| [[File:Johannesburg CBD.jpg|125px]]
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| {{ZAF}}
| {{ZAF}}
|-
|-
|60
|59
| [[Dar es Salaam]]
| [[Dar es Salaam]]
| [[File:Dar es Salaam aerial.jpg|125px]]
| [[File:Dar es Salaam aerial.jpg|125px]]
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| {{TZA}}
| {{TZA}}
|-
|-
|61
|60
| [[Suzhou]]
| [[Suzhou]]
| [[File:Panmen Scenic Area 1.jpg|125px]]
| [[File:Panmen Scenic Area 1.jpg|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|62
|61
| [[Harbin]]
| [[Harbin]]
| [[File:Kitayskaya_Street.jpg|125px]]
| [[File:Kitayskaya_Street.jpg|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|63
|62
| [[Giza]]
| [[Giza]]
| [[File:Egipt 383.jpg|125px]]
| [[File:Egipt 383.jpg|125px]]
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| {{EGY}}
| {{EGY}}
|-
|-
|64
|63
| [[Zhengzhou]]
| [[Zhengzhou]]
| [[File:Hnyszx.png|125px]]
| [[File:Hnyszx.png|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|65
|64
| [[New Taipei City]]
| [[New Taipei City]]
| [[File:Roctpchall.jpg|125px]]
| [[File:Roctpchall.jpg|125px]]
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| {{TWN}}
| {{TWN}}
|-
|-
|66
|65
| [[Los Angeles]]
| [[Los Angeles]]
| [[File:LA Skyline Mountains2.jpg|125px]]
| [[File:LA Skyline Mountains2.jpg|125px]]
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| {{USA}}
| {{USA}}
|-
|-
|67
|66
| [[Cape Town]]
| [[Cape Town]]
| [[File:Central Cape Town.jpg|125px]]
| [[File:Central Cape Town.jpg|125px]]
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| {{ZAF}}
| {{ZAF}}
|-
|-
|68
|67
| [[Yokohama]]
| [[Yokohama]]
| [[File:Minato Mirai In Blue.jpg|125px]]
| [[File:Minato Mirai In Blue.jpg|125px]]
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| {{JPN}}
| {{JPN}}
|-
|-
|69
|68
| [[Busan]]
| [[Busan]]
| [[File:August Afternoon in Haeundae 2.jpg|125px]]
| [[File:August Afternoon in Haeundae 2.jpg|125px]]
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| {{KOR}}
| {{KOR}}
|-
|-
|70
|69
| [[Hangzhou]]
| [[Hangzhou]]
| [[File:Hangzhou-yellow-dragon-stad.jpg|125px]]
| [[File:Hangzhou-yellow-dragon-stad.jpg|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|71
|70
| [[Xiamen]]
| [[Xiamen]]
| [[File:View of Urban Area of Amoy from Mount Riguangyan.jpg|125px]]
| [[File:View of Urban Area of Amoy from Mount Riguangyan.jpg|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|72
|71
| [[Quanzhou]]
| [[Quanzhou]]
| [[File:Lingshan Islamic Cemetery - city view - DSCF8486.JPG|125px]]
| [[File:Lingshan Islamic Cemetery - city view - DSCF8486.JPG|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|73
|72
| [[Berlin]]
| [[Berlin]]
| [[File:PotsdamerPlatz Vogelperspektive 2004 1.jpg|125px]]
| [[File:PotsdamerPlatz Vogelperspektive 2004 1.jpg|125px]]
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| {{DEU}}
| {{DEU}}
|-
|-
|74
|73
| [[Rawalpindi]]
| [[Rawalpindi]]
| [[File:AWT building.jpg|125px]]
| [[File:AWT building.jpg|125px]]
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| {{PAK}}
| {{PAK}}
|-
|-
|75
|74
| [[Jeddah]]
| [[Jeddah]]
| [[File:Jeddeh4.jpg|125px]]
| [[File:Jeddeh4.jpg|125px]]
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| {{SAU}}
| {{SAU}}
|-
|-
|76
|75
| [[Durban]]
| [[Durban]]
| [[File:VWestDurban.jpg|125px]]
| [[File:VWestDurban.jpg|125px]]
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| {{ZAF}}
| {{ZAF}}
|-
|-
|77
|76
| [[Hyderabad, Sindh|Hyderabad]]
| [[Hyderabad, Sindh|Hyderabad]]
| [[File:Citynazimoffice.JPG|125px]]
| [[File:Citynazimoffice.JPG|125px]]
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| {{PAK}}
| {{PAK}}
|-
|-
|78
|77
| [[Kabul]]
| [[Kabul]]
| [[File:Khair Khana in 2012.jpg|125px]]
| [[File:Khair Khana in 2012.jpg|125px]]
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| {{AFG}}
| {{AFG}}
|-
|-
|79
|78
| [[Casablanca]]
| [[Casablanca]]
| [[File:CasablancaFAR.jpg|125px]]
| [[File:CasablancaFAR.jpg|125px]]
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| {{MAR}}
| {{MAR}}
|-
|-
|80
|79
| [[Hefei]]
| [[Hefei]]
| [[File:Hefei Street Scene.jpg|125px]]
| [[File:Hefei Street Scene.jpg|125px]]
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| {{CHN}}
| {{CHN}}
|-
|-
|81
|80
| [[Pyongyang]]
| [[Pyongyang]]
| [[File:0322 Pyongyang Turm der Juche Idee Aussicht.jpg|125px]]
| [[File:0322 Pyongyang Turm der Juche Idee Aussicht.jpg|125px]]
Line 759: Line 750:
| {{PRK}}
| {{PRK}}
|-
|-
|82
|81
| [[Madrid]]
| [[Madrid]]
| [[File:Gran Vía (Madrid) 1.jpg|125px]]
| [[File:Gran Vía (Madrid) 1.jpg|125px]]
Line 768: Line 759:
| {{ESP}}
| {{ESP}}
|-
|-
|83
|82
| [[Peshawar]]
| [[Peshawar]]
| [[File:Khyber_pass.jpeg|125px]]
| [[File:Khyber_pass.jpeg|125px]]
Line 777: Line 768:
| {{PAK}}
| {{PAK}}
|-
|-
|84
|83
| [[Ekurhuleni Metropolitan Municipality|Ekurhuleni]]
| [[Ekurhuleni Metropolitan Municipality|Ekurhuleni]]
| [[File:Germiston CBD.jpg|125px]]
| [[File:Germiston CBD.jpg|125px]]
Line 786: Line 777:
| {{ZAF}}
| {{ZAF}}
|-
|-
|85
|84
| [[Nairobi]]
| [[Nairobi]]
| [[File:NBO5.jpg|125px]]
| [[File:NBO5.jpg|125px]]
Line 795: Line 786:
| {{KEN}}
| {{KEN}}
|-
|-
|86
|85
| [[Zhongshan]]
| [[Zhongshan]]
| [[File:Zhongshan City -02.jpg|125px]]
| [[File:Zhongshan City -02.jpg|125px]]
Line 804: Line 795:
| {{CHN}}
| {{CHN}}
|-
|-
|87
|86
| [[Pune]]
| [[Pune]]
| [[File:AmonoraTownCentre.jpg|125px]]
| [[File:AmonoraTownCentre.jpg|125px]]
Line 813: Line 804:
| {{IND}}
| {{IND}}
|-
|-
|88
|87
| [[Addis Ababa]]
| [[Addis Ababa]]
| [[File:Aerials Ethiopia 2009-08-27 15-26-13.JPG|125px]]
| [[File:Aerials Ethiopia 2009-08-27 15-26-13.JPG|125px]]
Line 822: Line 813:
| {{ETH}}
| {{ETH}}
|-
|-
|89
|88
| [[Jaipur]]
| [[Jaipur]]
| [[File:World Trade Park Jaipur in 2012.jpg|125px]]
| [[File:World Trade Park Jaipur in 2012.jpg|125px]]
Line 831: Line 822:
| {{IND}}
| {{IND}}
|-
|-
|90
|89
| [[Buenos Aires]]
| [[Buenos Aires]]
| [[File:Banco de la Nación Argentina, Buenos Aires, Argentina, 2014-11-20 WTourAR AA 03.jpg|125px]]
| [[File:Banco de la Nación Argentina, Buenos Aires, Argentina, 2014-11-20 WTourAR AA 03.jpg|125px]]
Line 840: Line 831:
| {{ARG}}
| {{ARG}}
|-
|-
|91
|90
| [[Wenzhou]]
| [[Wenzhou]]
| [[File:Vue générale de Wenzhou.JPG|125px]]
| [[File:Vue générale de Wenzhou.JPG|125px]]

Revision as of 03:51, 30 December 2015

This article lists the most populous cities in the world defined according to a concept of city proper. A city proper is a locality defined according to legal or political boundaries and an administratively recognised urban status that is usually characterised by some form of local government.[1][2][3] Cities proper and their boundaries and population data may not include suburbs.[4]

World Urbanization Prospects, a UN publication, defines population of a city proper as "the population living within the administrative boundaries of a city or controlled directly from the city by a single authority." The book continues to say that "city proper as defined by administrative boundaries may not include suburban areas where an important proportion of the population working or studying in the city lives."[4] This definition does not give an accurate picture of the urban area or metropolitan area of cities. Using this strictly administrative definition, many cities will be included on this list that are smaller than their urban area. However, many Chinese cities included govern territories that extend well beyond the traditional "city proper" into suburban and rural areas.[5]

Cities proper by population

Rank City Image Population Definition Total area (km²) Population density (/km²) Country
1 Shanghai 24,256,800[6] Core districts[7][8] 2,605.48 6,846  China
2 Karachi 23,500,000[9] Metropolitan Corporation[10] 3,527 6,663  Pakistan
3 Lagos 21,324,000[11] Local Government Areas 1,171.28[12] 18,206  Nigeria
4 Delhi 16,787,941[13] National Capital Territory 1,483 11,320  India
5 Istanbul 14,377,019[14] Metropolitan Municipality-Province[15] 5,461[16] 2,633  Turkey
6 Tokyo 13,297,629[17] City prefecture 2,189[18] 6,075  Japan
7 Mumbai 12,478,447[19] Municipal Corporation[20] 603.4 20,680  India
8 Moscow 12,197,596[21] Federal City[22][23] 2,510.12[24] 4,859  Russia
9 São Paulo 11,895,893[25] Municipality City[26] 1,521.11 7,821  Brazil
10 Beijing 11,716,620[27] Core districts[28] 1,368.3 8,563  China
11 Shenzhen 10,467,400[29] Sub-provincial City 1,991.64[30] 5,256  China
12 Jakarta 10,075,310[31] Capital Region – Five Kota[32] 664.12 15,171  Indonesia
13 Seoul 10,048,850[33] Special City 605.21[34] 17,134  South Korea
14 Guangzhou 9,865,702[35] Core districts[36] 2,345.74 4,206  China
15 Kinshasa 9,735,000[37][38][full citation needed] Metropolitan Municipality-Province[39] 1,117.62[40] 8,710  Democratic Republic of the Congo
16 Cairo 9,278,441[41] Governorate[42] 3,085.1[43] 3,008  Egypt
17 Mexico City 8,874,724[44] Federal District 1,485.49[45] 5,974  Mexico
18 Lima 8,693,387[46] Metropolitan Municipality-Province[47] 2,672.3 3,253  Peru
19 London 8,538,689[48] Greater London Authority[49] 1,572.15 5,431  United Kingdom
20 New York City 8,491,079[50] City[51] 783.84 10,833  United States
21 Bengaluru 8,425,970[19] Municipal Corporation 709.5[52] 11,876  India
22 Bangkok 8,280,925[53] Metropolitan Municipality-Province[54] 1,568.74 5,279  Thailand
23 Dongguan 8,220,207[55] Prefecture-level City 2,469.4 3,329  China
24 Chongqing 8,189,800[a] Central Chongqing[b]
Municipality
5,473[c] 1,496  China
25 Nanjing 8,187,828[60] Sub-provincial City 4,713.85 1,737  China
26 Tehran 8,154,051[61] City Municipality[62] 686[63] 11,886  Iran
27 Shenyang 8,106,171[64] Sub-provincial City 12,942 626  China
28 Bogotá 7,776,845[65] Capital District[66] 859.11[67][68] 9,052  Colombia
29 Ho Chi Minh City 7,681,700[69] Metropolitan Municipality-Province 2,095.6[70] 3,666  Vietnam
30 Ningbo 7,605,689[71] Sub-provincial city 9,816.23 775  China
31 Hong Kong 7,298,600[72] Special Administrative Region[73] 1,104.43[74] 6,608  China
32 Baghdad 7,180,889[75] Metropolitan Municipality-Province[76] 4,555[77] 1,576  Iraq
33 Changsha 7,044,118 Prefecture-level City[78] 11,819 596  China
34 Dhaka 6,970,105[79] City Corporation 153.84[80] 45,307  Bangladesh
35 Wuhan 6,886,253[81] Sub-provincial City[82] 1,327.61[83] 5,187  China
36 Tianjin 6,859,779[84] Core districts[85] 2,041.35[86] 3,360  China
37 Hyderabad 6,809,970[19] Municipal Corporation 621.48[87] 10,958  India
38 Hanoi 6,844,100[69] Metropolitan Municipality-Province 3,323.6[70] 2,059  Vietnam
39 Rio de Janeiro 6,429,923[88] Municipality City 1,200.27[89] 5,357  Brazil
40 Lahore 6,318,745[90] City District 1,772[90] 5,673  Pakistan
41 Foshan 6,151,622[91][92] Prefecture-level City 2,034.62[93] 3,023  China
42 Zunyi 6,127,009 Prefecture-level city 30,763 199  China
43 Santiago 5,743,719[94] Metropolitan Municipality-Province[95] 1,249.9 4,595  Chile
44 Riyadh 5,676,621[96] Municipality City[97] 1,233.98[98] 4,600  Saudi Arabia
45 Ahmedabad 5,570,585[19] Municipal Corporation 475 11,728  India
46 Singapore 5,535,000[99] City State 719.1[99] 7,697  Singapore
47 Shantou 5,391,028[100] Prefecture-level City 2,064.42 2,611  China
48 Yangon 5,214,000[101] Metropolitan Municipality-Province[102] 598.75[103] 8,708  Myanmar
49 Saint Petersburg 5,191,690[104] Federal City 1,439[24] 3,608  Russia
50 Chennai 4,792,949[105] Municipal Corporation[106] 426.51[107] 11,238  India
51 Abidjan 4,765,000[37] Department/City District 2,119[108] 2,249  Ivory Coast
52 Chengdu 4,741,929[109] Sub-provincial City 421[109] 11,263  China
53 Alexandria 4,616,625[110] Governorate 2,300[111][112] 2,007  Egypt
54 Kolkata 4,486,679[19] Municipal Corporation 200.7 22,355  India
55 Ankara 4,470,800[113] Metropolitan Municipality-Province[114] 1,910.92[115][116] 2,340  Turkey
56 Xi'an 4,467,837[117] Sub-provincial City[118] 832.17 5,369  China
57 Surat 4,462,002[19] Municipal Corporation 326.515[119] 13,666  India
58 Johannesburg 4,434,827[120] Municipality City 1,644.98 2,696  South Africa
59 Dar es Salaam 4,364,541[121] Metropolitan Municipality-Province[122] 1,631.12[123] 2,676  Tanzania
60 Suzhou 4,327,066[124] Prefecture-level City[125] 1,649.72[126] 2,623  China
61 Harbin 4,280,701[127][128] Sub-provincial City 1,718.2[129] 2,491  China
62 Giza 4,239,988[130] Governorate[131] 289.08 14,667  Egypt
63 Zhengzhou File:Hnyszx.png 4,122,087[132] Sub-provincial City[133] 1,015.66 4,059  China
64 New Taipei City 3,954,929[134] Special Municipality 2,052.57[135] 1,927  Taiwan
65 Los Angeles 3,884,307[136] Municipality City[137] 1,213.85 3,200  United States
66 Cape Town 3,740,026[120] Municipality City 2,444.97 1,530  South Africa
67 Yokohama 3,680,267[138] Municipality City 437.38 8,414  Japan
68 Busan 3,590,101[139] Municipality City 766.12[139] 4,686  South Korea
69 Hangzhou 3,560,391[140] Sub-provincial City 728.19[140] 4,889  China
70 Xiamen 3,531,347[141] Sub-provincial City 1,699 2,078  China
71 Quanzhou 3,520,846[142] Prefecture-level City 1,062 3,315  China
72 Berlin 3,517,424[143] City State 891.75 3,944  Germany
73 Rawalpindi 3,510,000[citation needed] City District 127 27,638  Pakistan
74 Jeddah 3,456,259[144] Municipality City 1,765[145] 1,958  Saudi Arabia
75 Durban 3,442,361[120] Municipality City 2,291.31 1,502  South Africa
76 Hyderabad 3,429,471[146] City District 114 30,083  Pakistan
77 Kabul 3,414,100[147] Municipality City 275 12,415  Afghanistan
78 Casablanca 3,359,818[148] Prefecture 195.7 17,168  Morocco
79 Hefei 3,352,076[149] Prefecture-level City[150] 838.52 3,998  China
80 Pyongyang 3,255,388[151] Direct-controlled Municipality 2,113[152] 1,541  North Korea
81 Madrid 3,207,247[153] Municipality City 605.77 5,294  Spain
82 Peshawar 3,201,000[citation needed] Municipal Corporation 125 25,608  Pakistan
83 Ekurhuleni 3,178,470[120] Municipality City 1,975.31 1,609  South Africa
84 Nairobi 3,138,369[154] Capital District 694.9 4,829  Kenya
85 Zhongshan 3,121,275[155] Prefecture-level City 1,783.67 1,750  China
86 Pune 3,115,431[19] Municipal Corporation 450.69 6,913  India
87 Addis Ababa 3,103,673[156] Metropolitan Municipality-Province[157] 526.99 5,889  Ethiopia
88 Jaipur 3,073,350[19] Municipal Corporation 485 6,337  India
89 Buenos Aires 3,054,300[158] Federal District 203 15,046  Argentina
90 Wenzhou 3,039,439[159] Prefecture-level City[160] 1,187.88 2,559  China

Notes

  1. ^ Sum of the 2014 population estimates for the "urban-function core district" and "urban-function extended district" of Chongqing, which were 3,677,600 and 4,512,200 respectively.[56] See also the next note.
  2. ^ The nine districts of Yuzhong, Jiangbei, Shapingba, Jiulongpo, Nan'an, Dadukou, Banan, Yubei and Beibei together comprise the area commonly referred to as Central Chongqing (重庆主城区). The first six districts make up the "urban-function core district" (都市功能核心区) and the last three comprise the "urban-function extended district" (都市功能拓展区) defined by the Chongqing municipal government.[57][58][59]
  3. ^ Sum of the areas of the "urban-function core district" and "urban-function extended district" of Chongqing.[57] See also the previous note.

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  132. ^ Sub-provincial City (Census 2010)
  133. ^ The city proper based on the districts of Zhōngyuán, Èrqī, Guǎnchéng Huízú, Jīnshuǐ and Huìjì
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  160. ^ Based on the following districts: Lucheng, Longwan, Ouhai; see Administration

See also