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List of largest cities

This is a list of the largest cities in the world by number of people.

The number of people in a city can be counted in three ways:[1]

  • City proper: The area that is officially part of the city, according to the government.
  • Urban area: An area of built-up land, with many roads, buildings, and infrastructure. It usually has many people close together, who do not work in farming. Rural land is the opposite: it has a small number of people and buildings. In this list, an urban area is an area of urban land that is continuous: it has no spaces in between that are rural.
  • Metropolitan area: An urban area, and nearby areas where people frequently travel (commute) to the urban area. Some of these areas are suburbs and some can have a small number of people. This is according to the government, so it can mean different things in different countries.

List

City[a] Country UN 2018 population estimates[b] City proper[c] Metropolitan area[d] Urban area[3]
Definition Population Area
(km2) 		Density
(/km2) 		Population Area
(km2) 		Density
(/km2) 		Population Area
(km2) 		Density
(/km2)
Tokyo  Japan 37,468,000 Metropolis prefecture 13,515,271 2,191 6,169
[4]		 37,274,000 13,452 2,771
[5]		 39,105,000 8,231 4,751
[e]
Delhi  India 28,514,000 Capital City 16,753,235 1,484 11,289
[6]		 29,000,000 3,483 8,326
[7]		 31,870,000 2,233 14,272
[f]
Shanghai  China 25,582,000 Municipality 24,870,895 6,341 3,922
[8][9]		 N/A N/A N/A 22,118,000 4,069 5,436
[g]
São Paulo 22x20px Brazil 21,650,000 Municipality 12,252,023 1,521 8,055
[10]		 21,734,682 7,947 2,735
[11]		 22,495,000 3,237 6,949
[h]
Mexico City 22x20px Mexico 21,581,000 City-state 9,209,944 1,485 6,202
[12]		 21,804,515 7,866 2,772
[13]		 21,505,000 2,385 9,017
Cairo  Egypt 20,076,000 Urban governorate 9,500,000 3,085 3,079
[14]		 N/A N/A N/A 19,787,000 2,010 9,844
Mumbai  India 19,980,000 Municipality 12,478,447 603 20,694
[15]		 24,400,000 4,355 5,603
[16]		 22,186,000 1,008 22,010
[17][i]
Beijing  China 19,618,000 Municipality 21,893,095 16,411 1,334
[8][9]		 N/A N/A N/A 19,437,000 4,172 4,659
Dhaka 22x20px Bangladesh 19,578,000 Capital city 8,906,039 338 26,349
[18][19]		 14,543,124
[20]		 N/A N/A 16,839,000 456 36,928
Osaka  Japan 19,281,000 Designated city 2,725,006 225 12,111
[4]		 19,303,000 13,228 1,459
[5]		 15,490,000 3,020 5,129
[j]
New York  United States 18,819,000 City 8,804,190 778 11,316
[21]		 20,140,470 12,093 1,665
[22]		 23,582,649 34,493 684
[k]
Karachi  Pakistan 15,400,000 Metropolitan city 14,910,352 3,530 4,224
[23][24]		 16,051,521 3,780 4,246
[25]		 15,292,000 1,044 14,648
[26]
Buenos Aires File:Flag of Argentina.svg Argentina 14,967,000 Autonomous city 3,054,300 203 15,046
[27]		 12,806,866
[28]		 N/A N/A 16,216,000 3,222 5,033
Chongqing  China 14,838,000 Municipality 32,054,159 82,403 389
[29][9]		 N/A N/A N/A 8,261,000 1,536 5,378
Istanbul 22x20px Turkey 14,751,000 Metropolitan municipality 15,519,267 5,196 2,987
[30]		 N/A N/A N/A 15,311,000 1,375 11,135
Kolkata  India 14,681,000 Municipality 4,496,694 205 21,935
[31]		 14,035,959 1,851 7,583
[32]		 18,698,000 1,352 13,830
[33]
Manila 22x20px Philippines 13,482,000 Capital city 1,780,148 43 41,399
[34]		 12,877,253 620 20,770
[34]		 23,971,000 1,873 12,798
[l]
Lagos  Nigeria 13,463,000 N/A[m] N/A N/A N/A 21,000,000 1,171 17,933
[35]		 15,487,000 1,966 7,877
Rio de Janeiro 22x20px Brazil 13,293,000 Municipality 6,520,000 1,221 5,340
[36]		 12,644,321 5,327 2,374
[37]		 12,486,000 2,020 6,181
Tianjin  China 13,215,000 Municipality 13,866,009 11,920 1,163
[8][9]		 N/A N/A N/A 10,932,000 2,813 3,886
Kinshasa File:Flag of the Democratic Republic of the Congo.svg DR Congo 13,171,000 City-province 11,462,000 9,965 1,150
[38]		 N/A N/A N/A 15,056,000 466 32,309
Guangzhou  China 12,638,000 City (sub-provincial) 14,498,400 7,434 1,950
[8]		 N/A N/A N/A 21,489,000 4,341 4,950
[n]
Los Angeles  United States 12,458,000 City 3,990,456 1,214 3,287
[21]		 13,291,486 12,559 1,058
[39]		 15,477,000 6,351 2,437
Moscow File:Flag of Russia.svg Russia 12,410,000 Federal city 13,200,000 2,511 5,257
[40][41]		 20,004,462
[42]		 N/A N/A 17,693,000 5,879 3,010
Shenzhen  China 11,908,000 City (sub-provincial) 12,528,300 2,050 6,111
[8]		 N/A N/A N/A 14,678,000 1,803 8,141
Lahore  Pakistan 11,738,000 Metropolitan city 11,126,000 1,772 6,279
[23]		 N/A N/A N/A 11,148,000 852 13,085
Bangalore  India 11,440,000 Municipality 8,443,675 709 11,909
[43]		 N/A N/A N/A 13,999,000 1,204 11,627
Paris  France 10,901,000 Commune 2,148,271 105 20,460
[44]		 12,244,807 N/A N/A 11,027,000 2,844 3,877
Bogotá 22x20px Colombia 10,574,000 Capital District 7,963,000 1,587 5,018
[45]		 12,545,272 5,934 2,114
[46]		 9,274,000 562 16,502
Jakarta  Indonesia 10,517,000 Special capital region 10,154,134 664 15,292
[47]		 33,430,285 7,063 4,733
[48]		 35,362,000 3,541 9,986
[o]
Chennai  India 10,456,000 Municipality 6,727,000 426 15,791
[49][50]		 N/A N/A N/A 11,564,000 1,085 10,658
Lima 22x20px Peru 10,391,000 Metropolitan municipality 8,894,000 2,672 3,329
[51]		 9,569,468 2,819 3,395
[52]		 8,992,000 891 10,092
Bangkok 22x20px Thailand 10,156,000 Special administrative area 8,305,218 1,569 5,293
[53]		 16,255,900 7,762 2,094
[54]		 17,573,000 3,199 5,493
[55]
Seoul  South Korea 9,963,000 Special city 10,013,781 605 16,208[56] 25,514,000 11,704 2,180[56] 22,394,000 2,769 8,087
Nagoya  Japan 9,507,000 Designated city 2,320,361 326 7,118
[4]		 9,363,000 7,271 1,288
[5]		 9,522,000 3,704 2,571
Hyderabad  India 9,482,000 Municipality 6,993,262 650 10,759
[57][58]		 N/A N/A N/A 9,840,000 1,274 7,724
London File:Flag of the United Kingdom (3-5).svg United Kingdom 9,046,000 Capital city 8,825,001 1,572 5,614
[59]		 14,372,596
[60]		 8,382 1,715 11,120,000 1,738 6,398
Tehran  Iran 8,896,000 Capital city 9,033,003 751 12,028
[61][62]		 N/A N/A N/A 13,819,000 1,704 8,110
Chicago  United States 8,864,000 City 2,746,388 589 4,663
[21]		 9,618,502 18,640 516
[63]		 9,013,000 7,006 1,286
Chengdu  China 8,813,000 City (sub-provincial) 16,044,700 14,378 1,116
[8]		 N/A N/A N/A 11,920,000 1,829 6,517
Nanjing  China 8,245,000 City (sub-provincial) 7,260,000 6,582 1,103
[64]		 N/A N/A N/A 7,729,000 1,614 4,789
Wuhan  China 8,176,000 City (sub-provincial) 10,892,900 8,494 1,282
[8]		 N/A N/A N/A 9,729,000 1,722 5,650
Ho Chi Minh City 22x20px Vietnam 8,145,000 Municipality 7,431,000 2,061 3,606
[65]		 N/A N/A N/A 13,954,000 1,637 8,524
Luanda 22x20px Angola 7,774,000 Municipality 2,165,867 116 18,671
[66]		 N/A N/A N/A 8,883,000 1,005 8,839
Ahmedabad  India 7,681,000 Municipality 5,570,585 464 12,006
[67]		 6,300,000
[68]		 N/A N/A 7,717,000 360 21,436
Kuala Lumpur 22x20px Malaysia 7,564,000 City 1,768,000 243 7,276
[69]		 7,200,000 2,793 2,578
[70]		 8,639,000 2,163 3,994
Xi'an  China 7,444,000 City (sub-provincial) 8,989,000 10,135 887
[8]		 N/A N/A N/A 7,090,000 1,093 6,487
Hong Kong  China 7,429,000 Special administrative region 7,298,600 1,104 6,611
[71][72]		 N/A N/A N/A 7,398,000 290 25,510
Dongguan  China 7,360,000 Prefecture-level city 8,342,500 2,465 3,384
[8]		 N/A N/A N/A 8,142,000 1,759 4,629
Hangzhou  China 7,236,000 City (sub-provincial) 9,468,000 16,596 570
[8]		 N/A N/A N/A 6,713,000 1,445 4,646
Foshan  China 7,236,000 Prefecture-level city 7,197,394 3,848 1,870
[8]		 N/A N/A N/A N/A[p] N/A N/A
Shenyang  China 6,921,000 City (sub-provincial) 8,294,000 12,980 639
[8]		 N/A N/A N/A 7,208,000 1,515 4,758
[q]
Riyadh  Saudi Arabia 6,907,000 Municipality 6,694,000 1,913 3,499
[73]		 N/A N/A N/A 6,889,000 1,673 4,118
Baghdad  Iraq 6,812,000 Urban governorate 8,126,755 5,200 1,563
[74]		 N/A N/A N/A 6,107,000 694 8,800
Santiago 22x20px Chile 6,680,000 City (commune) 236,453 22 10,748
[75]		 7,112,808 15,403 462
[76]		 7,026,000 1,147 6,126
Surat  India 6,564,000 Municipality 4,466,826 327 13,660
[77]		 N/A N/A N/A 4,875,000 238 20,483
Madrid 22x20px Spain 6,497,000 Municipality 3,266,126 606 5,390
[78]		 6,641,649 N/A N/A 6,006,000 1,365 4,400
Suzhou  China 6,339,000 Prefecture-level city 10,721,700 8,488 1,263
[8]		 N/A N/A N/A 5,103,000 1,386 3,682
Pune  India 6,276,000 Municipality 3,124,458 276 11,321
[79]		 7,276,000 7,256 1,003
[80]		 7,948,000 650 12,228
Harbin  China 6,115,000 City (sub-provincial) 10,635,971 53,068 200
[8]		 N/A N/A N/A 4,583,000 671 6,830
Houston  United States 6,115,000 City 2,325,502 1,553 1,497
[21]		 6,997,384 21,395 327
[81]		 6,529,000 4,931 1,324
Dallas  United States 6,099,000 City 1,345,047 882 1,525
[21]		 7,470,158 22,463 333
[82]		 6,960,000 5,278 1,319
[r]
Toronto 22x20px Canada 6,082,000 City 2,731,571 630 4,336
[83][84]		 5,928,040 5,906 1,004
[85]		 6,985,000 2,300 3,037
Dar es Salaam 22x20px Tanzania 6,048,000 City 4,364,541 1,393 3,133 N/A N/A N/A 7,461,000 961 7,764
Miami  United States 6,036,000 City 470,914 93 5,069
[21]		 6,158,824 15,890 388 6,212,000 3,313 1,875
Belo Horizonte 22x20px Brazil 5,972,000 City 2,502,557 331 7,563 5,156,217 9,459 545 5,159,000 1,288 4,005
Singapore 22x20px Singapore 5,792,000 Country 5,638,700 726 7,770 N/A N/A N/A 5,271,000 1,287 4,096
Philadelphia  United States 5,695,000 Consolidated city-county 1,526,006 370 4,129 6,096,120 N/A N/A 5,697,000 5,429 1,049
Atlanta  United States 5,572,000 City 420,003 354 1,186 5,949,951 21,690 274 5,434,000 7,400 734
Fukuoka  Japan 5,551,000 Designated city 1,588,924 343 4,627 N/A N/A N/A 2,280,000 505 4,515
Khartoum 22x20px Sudan 5,534,000 N/A 639,598 22,142 29 5,274,321 N/A N/A 6,017,000 1,031 5,836
Barcelona 22x20px Spain 5,494,000 Municipality 1,620,343 101 15,980
[86]		 5,474,482
[87]		 N/A N/A 4,735,000 1,072 4,417
Johannesburg File:Flag of South Africa.svg South Africa 5,486,000 Metropolitan municipality N/A N/A N/A N/A N/A N/A 14,167,000 4,040 3,507[88]
Saint Petersburg File:Flag of Russia.svg Russia 5,383,000 Federal city N/A N/A N/A N/A N/A N/A 5,207,000 1,373 3,792
Qingdao  China 5,381,000 City (sub-provincial) N/A N/A N/A N/A N/A N/A 6,232,000 1,655 3,766
Dalian  China 5,300,000 City (sub-provincial) N/A N/A N/A N/A N/A N/A 3,994,000 987 4,047
Washington metropolitan area  United States 5,207,000 Federal district 702,455 177 3,969
[21]		 6,263,245 17,009 368
[89]		 7,583,000 5,501 1,378
[s]
Yangon 22x20px Myanmar 5,157,000 City N/A N/A N/A N/A N/A N/A 6,497,000 603 10,774
Alexandria  Egypt 5,086,000 Urban governorate N/A N/A N/A N/A N/A N/A 4,857,000 293 16,577
Jinan  China 5,052,000 City (sub-provincial) 8,700,000 10,244 849 N/A N/A N/A 4,381,000 798 5,490
Guadalajara 22x20px Mexico 5,023,000 Municipality 1,385,621 151 9,176
[12]		 5,286,642 3,560 1,485 5,437,000 313 17,371
[13]

List Of Largest Cities Media

  • Night in the Greater Tokyo Area ISS054.jpg

    Tokyo is the world's largest city by urban area and metropolitan area.

  • Skyscrapers of Shinjuku 2009 January.jpg

    Tokyo, Japan: 39.1 million people (urban area)

  • Jakarta Skyline Part 2.jpg

    Jakarta, Indonesia: 34.5 million people (urban area)

  • Skyline at Rajiv Chowk.JPG

    Delhi, India: 32.2 million people (urban area)

  • Seoul (South Korea).jpg

    Seoul, South Korea: 26 million people (metropolitan area)

  • Shanghai skyline 2018(cropped).jpg

    Shanghai, China: 24.8 million people (municipal area)

  • Ortigas Tonight.jpg

    Manila, Philippines: 24.1 million people (urban area)

  • Webysther 20190306131041 - Edifício Altino Arantes.jpg

    São Paulo, Brazil: 22 million people (metropolitan area)

  • Skyline of Beijing CBD with B-5906 approaching (20211016171955).jpg

    Beijing, China: 21.9 million people (municipal area)

  • Sobrevuelos CDMX HJ2A4913 (25514321687) (cropped).jpg

    Mexico City, Mexico: 21.8 million people (metropolitan area)

Notes

  1. ↑ For urban/metropolitan areas that have more than one core city, the number for their city proper should use either the most populous one (e.g. Dallas for Dallas–Fort Worth metroplex) or the best-known one (e.g. Manila for Metro Manila, instead of Quezon City).
  2. ↑ UN numbers for each cities are varied between city proper, metropolitan area, and urban area.[2]
  3. ↑ Numbers taken from official census when possible
  4. ↑ Numbers taken from official census when possible
  5. ↑ Includes large areas Tokyo, Kanagawa, Chiba and Saitama prefectures and smaller areas of Gunma, Tochigi and Ibaraki prefectures.
  6. ↑ Includes Faridabad, Ghaziabad, Noida, Gurgaon and Bahadurgarh urban areas and New Delhi.
  7. ↑ Includes Taicang
  8. ↑ Includes Francisco Morato
  9. ↑ Includes Kalyan and urban areas of Panvel, Bhiwandi and Vasai-Virar.
  10. ↑ Includes major cities of Kobe and Kyoto, collectively also known as Keihanshin area.
  11. ↑ Includes Bridgeport, New Haven, Trenton, Danbury, Waterbury and Twin Rivers urban areas.
  12. ↑ The continuous urbanization of Manila extends outward its Metro Manila into other neighbouring provinces such as Bulacan, Cavite, Laguna, Rizal, Pampanga and Batangas provinces.
  13. ↑ Although commonly referred to as a city, Lagos is a metropolitan area consisting of 16 local government areas.
  14. ↑ Includes the city of Foshan.
  15. ↑ Includes Tangerang, South Tangerang, Bogor, Bekasi and Karawang.
  16. ↑ Included in Guangzhou
  17. ↑ Includes the city of Fushun.
  18. ↑ Includes the city of Fort Worth, collectively known as Dallas–Fort Worth metroplex.
  19. ↑ Includes the city of Baltimore.

References

  1. ↑ UNICEF. 2012. The State of the World’s Children 2012: Children in an Urban World. New York, UNICEF.
  2. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  3. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  4. ↑ 4.0 4.1 4.2 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  5. ↑ 5.0 5.1 5.2 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  6. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  7. ↑ Sharma, Shantanu Nandan (17 February 2019). Delhi could be the world's most populous city by 2028. But is it really prepared?. https://economictimes.indiatimes.com/news/politics-and-nation/delhi-could-be-the-worlds-most-populous-city-by-2028-but-is-it-really-prepared/articleshow/68027790.cms. Retrieved 4 March 2020. 
  8. ↑ 8.00 8.01 8.02 8.03 8.04 8.05 8.06 8.07 8.08 8.09 8.10 8.11 8.12 8.13 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  9. ↑ 9.0 9.1 9.2 9.3 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  10. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  11. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  12. ↑ 12.0 12.1 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  13. ↑ 13.0 13.1 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  14. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  15. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  16. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  17. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  18. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  19. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  20. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  21. ↑ 21.0 21.1 21.2 21.3 21.4 21.5 21.6 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  22. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  23. ↑ 23.0 23.1 Pakistan Bureau of Statistics. Population of Major Cities - Census 2017. http://www.pbscensus.gov.pk/sites/default/files/population_of_major_cities_census_2017%20_0.pdf. 
  24. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  25. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  26. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  27. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  28. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  29. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  30. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  31. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  32. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  33. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  34. ↑ 34.0 34.1 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  35. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  36. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  37. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  38. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  39. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  40. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  41. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  42. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  43. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  44. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  45. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  46. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  47. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  48. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  49. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).[dead link]
  50. ↑ "Expanded Chennai Corporationto be divided into 3 regions". The Hindu. 25 November 2011. http://www.thehindu.com/news/cities/Chennai/article2658830.ece. Retrieved 22 March 2014. 
  51. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  52. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  53. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  54. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  55. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  56. ↑ 56.0 56.1 Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  57. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  58. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  59. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  60. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  61. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  62. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  63. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  64. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  65. ↑ "512&idmid=5&ItemID=14277 Statistical Handbook of Vietnam 2014 Archived 6 July 2015 at the Wayback Machine, General Statistics Office Of Vietnam
  66. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  67. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  68. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  69. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  70. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  71. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  72. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  73. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  74. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  75. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  76. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  77. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  78. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  79. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  80. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  81. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  82. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  83. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  84. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  85. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  86. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
  87. ↑ Population on 1 January by broad age group, sex and metropolitan regions Archived 22 August 2016 at the Wayback Machine - Eurostat, 2017
  88. ↑ Includes Pretoria
  89. ↑ Lua error in Module:Citation/CS1/Utilities at line 38: bad argument #1 to 'ipairs' (table expected, got nil).
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