From acc7e9c379f5259e8417f7e1f327e33886748a0a Mon Sep 17 00:00:00 2001 From: Miguel Galvez Date: Mon, 22 Jul 2019 19:06:16 -0500 Subject: [PATCH] Web Project W2 --- ...PI - Web Project - Miguel-checkpoint.ipynb | 1306 ++++++ .../Web Scrapping - Miguel-checkpoint.ipynb | 3600 +++++++++++++++++ API - Web Project - Miguel.ipynb | 1306 ++++++ Web Scrapping - Miguel.ipynb | 3600 +++++++++++++++++ msft_df.csv | 6 + msft_dfT2.csv | 101 + wiki3_df.csv | 840 ++++ wiki3_df2.csv | 442 ++ 8 files changed, 11201 insertions(+) create mode 100644 .ipynb_checkpoints/API - Web Project - Miguel-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/Web Scrapping - Miguel-checkpoint.ipynb create mode 100644 API - Web Project - Miguel.ipynb create mode 100644 Web Scrapping - Miguel.ipynb create mode 100644 msft_df.csv create mode 100644 msft_dfT2.csv create mode 100644 wiki3_df.csv create mode 100644 wiki3_df2.csv diff --git a/.ipynb_checkpoints/API - Web Project - Miguel-checkpoint.ipynb b/.ipynb_checkpoints/API - Web Project - Miguel-checkpoint.ipynb new file mode 100644 index 0000000..687ffa9 --- /dev/null +++ b/.ipynb_checkpoints/API - Web Project - Miguel-checkpoint.ipynb @@ -0,0 +1,1306 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import requests as req\n", + "import json as js\n", + "import pandas as pd\n", + "from pandas.io.json import json_normalize" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#datau = req.get('http://universities.hipolabs.com/search?')\n", + "#datau = datau.json()\n", + "#dfu = pd.DataFrame(datau)\n", + "#dfu\n", + "#información muy pequeña y simple. Sin keys de autentificación" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#datauk = req.get('https://api.carbonintensity.org.uk/intensity')\n", + "#datauk_2 = datauk.json()\n", + "#type(datauk_2)\n", + "#datauk_2\n", + "#funciona bien pero debe ir cambiando los valores dentro de la URL" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'Meta Data': {'1. Information': 'Intraday (5min) open, high, low, close prices and volume',\n", + " '2. Symbol': 'MSFT',\n", + " '3. Last Refreshed': '2019-07-22 16:00:00',\n", + " '4. Interval': '5min',\n", + " '5. Output Size': 'Compact',\n", + " '6. 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" + ], + "text/plain": [ + " Open Price Highest Price Lowest Price Close Price \\\n", + "2019-07-22 16:00:00 138.440 138.550 138.340 138.430 \n", + "2019-07-22 15:55:00 138.440 138.490 138.350 138.440 \n", + "2019-07-22 15:50:00 138.375 138.455 138.340 138.440 \n", + "2019-07-22 15:45:00 138.360 138.470 138.335 138.385 \n", + "2019-07-22 15:40:00 138.340 138.400 138.330 138.365 \n", + "\n", + " Volume_Ops \n", + "2019-07-22 16:00:00 886466.0 \n", + "2019-07-22 15:55:00 321964.0 \n", + "2019-07-22 15:50:00 252689.0 \n", + "2019-07-22 15:45:00 233272.0 \n", + "2019-07-22 15:40:00 249061.0 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "msft_dfT2 = msft_dfT2.astype(float).round(3)\n", + "msft_dfT2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Open PriceHighest PriceLowest PriceClose PriceVolume_Ops
2019-07-22 10:10:00138.78139.19138.76139.0792631.0
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" + ], + "text/plain": [ + " Open Price Highest Price Lowest Price Close Price \\\n", + "2019-07-22 10:10:00 138.78 139.19 138.76 139.0 \n", + "\n", + " Volume_Ops \n", + "2019-07-22 10:10:00 792631.0 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "maxP = msft_dfT2['Highest Price'].max()\n", + "msft_dfT2[(msft_dfT2['Highest Price'] == maxP)]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "msft_dfT2.to_csv('msft_dfT2.csv', index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/Web Scrapping - Miguel-checkpoint.ipynb b/.ipynb_checkpoints/Web Scrapping - Miguel-checkpoint.ipynb new file mode 100644 index 0000000..1485c31 --- /dev/null +++ b/.ipynb_checkpoints/Web Scrapping - Miguel-checkpoint.ipynb @@ -0,0 +1,3600 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import bs4\n", + "from bs4 import BeautifulSoup\n", + "import requests\n", + "import pandas\n", + "import lxml\n", + "import html5lib\n", + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "b'\\n\\n\\n\\nAnexo:Aglomeraciones urbanas m\\xc3\\xa1s pobladas del mundo - Wikipedia, la enciclopedia libre\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
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Anexo:Aglomeraciones urbanas m\\xc3\\xa1s pobladas del mundo

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De Wikipedia, la enciclopedia libre
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\\n\\t\\tIr a la navegación\\n\\t\\tIr a la búsqueda\\n\\t\\t

Este anexo contiene los listados de las aglomeraciones urbanas (megaciudades) m\\xc3\\xa1s pobladas del mundo las estimaciones publicadas por el informe de las Naciones Unidas y Demographia para el mismo a\\xc3\\xb1o 2018, y la poblaci\\xc3\\xb3n con la que contaban dichas aglomeraciones al momento de hacerse el \\xc3\\xbaltimo censo donde se encuentre disponible.\\n

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Las 100 aglomeraciones urbanas m\\xc3\\xa1s pobladas del mundo[editar]

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation[1]​\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia[2]​\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU[3]​\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo oficial\\nFecha y fuente\\n
1Cant\\xc3\\xb3nChina\"Bandera China45 600 00042 941 00045 553 00039 264 0862010\\n
2TokioJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n40 200 00038 001 00037 843 0008 945 6952020 \\n
3Shangh\\xc3\\xa1iChina\"Bandera China35 900 00029 213 00030 539 00010 558 1212010\\n
4YakartaIndonesia\"Bandera Indonesia30 600 00011 399 00030 477 00025 420 2882010\\n
5DelhiIndia\"Flag India29 400 00025 703 00024 998 00016 349 8312011\\n
6ManilaFilipinas\"Bandera Filipinas25 200 00012 946 00024 123 0001 652 1712010\\n
7Se\\xc3\\xbalCorea del Sur\"Bandera Corea del Sur24 700 00013 558 00023 480 00023 836 2722010\\n
8BombayIndia\"Flag India24 700 00021 043 00021 732 00019 617 3022011\\n
9Ciudad de M\\xc3\\xa9xicoM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico22 800 00022 452 00020 063 00020 892 7242015\\n
10Nueva YorkEstados Unidos\"Flag Estados Unidos22 400 00019 532 00020 630 00019 556 4402010\\n
11S\\xc3\\xa3o PauloBrasil\"Flag Brasil22 200 00021 066 00020 365 00019 683 9752010\\n
12El CairoEgipto\"Flag Egipto20 500 00013 123 00013 123 0007 740 0182006\\n
13Pek\\xc3\\xadnChina\"Bandera China20 400 00013 123 00013 123 00016 446 8572010\\n
14DacaBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s19 500 00017 598 00015 669 00014 543 1242011\\n
15LagosNigeria\"Bandera Nigeria18 800 00018 772 00015 600 0005 195 2471991\\n
16BangkokTailandia\"Flag Tailandia18 300 00011 084 00014 998 0008 986 2182010\\n
17Los \\xc3\\x81ngelesEstados Unidos\"Flag Estados Unidos17 800 00014 504 00015 058 00017 053 9052010\\n
18OsakaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n17 700 00020 238 00017 444 0002 665 3142010\\n
19KarachiPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n17 300 00016 618 00022 123 00021 142 6252011\\n
20Mosc\\xc3\\xbaRusia\"Flag Rusia17 200 00012 166 00016 170 00011 612 8852010\\n
21CalcutaIndia\"Flag India16 600 00014 865 00014 667 00014 057 9912011\\n
22Buenos AiresArgentina\"Flag Argentina16 300 00018 086 00014 122 00013 588 1712017\\n
23EstambulTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada15 800 00014 164 00013 287 00014 657 0002015\\n
24Teher\\xc3\\xa1nIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n15 000 00010 239 00013 532 0009 768 6772011\\n
25LondresReino Unido\"Bandera Reino Unido14 700 00010 313 00010 236 00011 140 4452011\\n
26JohannesburgoSud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica13 700 00012 613 00012 066 00010 002 0392009\\n
28TianjinChina\"Bandera China13 200 00011 210 00010 920 0009 290 2632010\\n
27R\\xc3\\xado de JaneiroBrasil\"Flag Brasil13 100 00012 902 00011 727 00011 835 7082010\\n
29LahorePakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n12 600 0008 741 00010 052 0005 143 4951998\\n
30KinsasaRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo12 000 00011 587 00011 587 0007 273 9472004\\n
31BangaloreIndia\"Flag India11 800 00010 087 0009 807 0008 520 4352011\\n
32Par\\xc3\\xadsFrancia\"Flag Francia11 400 00010 843 00010 858 0009 738 8091999\\n
33Madr\\xc3\\xa1sIndia\"Flag India11 000 0009 890 0009 714 0008 653 5212011\\n
34NagoyaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n11 500 0009 406 00010 177 0002 263 8942010\\n
35LimaPer\\xc3\\xba\"Flag Per\\xc3\\xba9 900 00010 247 00011 150 0009 789 0002007\\n
36XiamenChina\"Bandera China9 900 0005 825 00011 130 0004 273 8412018 \\n
37HyderabadIndia\"Flag India9 850 0008 942 0008 754 0007 677 0182011\\n
38Bogot\\xc3\\xa1Colombia\"Flag Colombia9 800 0008 197 0008 950 9328 950 0002017\\n
39ChengduChina\"Bandera China9 800 0007 556 00010 376 0006 316 9222010\\n
40ChicagoEstados Unidos\"Flag Estados Unidos9 750 0008 745 0009 156 0009 461 5372010\\n
41Taip\\xc3\\xa9iTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n9 100 0002 666 0007 438 000---2017\\n
42WuhanChina\"Bandera China8 850 0008 467 0008 625 0006 787 8192010\\n
43Kuala LumpurMalasia\"Bandera Malasia8 700 0005 507 0005 225 0004 656 6902002\\n
44Ciudad Ho Chi MinhVietnam\"Bandera Vietnam8 600 0007 298 0008 957 0005 880 6152009\\n
45Washington D. C.Estados Unidos\"Flag Estados Unidos8 550 0007 222 0007 152 0008 347 0032010\\n
46HangzhouChina\"Bandera China8 300 0008 467 0009 625 0006 887 8192010\\n
47AhmedabadIndia\"Flag India8 250 0007 343 0007 186 0006 357 6932011\\n
48ChongqingChina\"Bandera China8 050 00013 332 0007 217 0006 263 7902010\\n
49LuandaAngola\"Bandera Angola7 900 0005 506 0005 899 0006 377 2462014\\n
50Santiago de ChileChile\"Flag Chile7 960 0006 837 0007 288 0007 306 9442017\\n
51ShenyangChina\"Bandera China7 900 0007 613 0007 402 0007 037 0402010\\n
52San Francisco-San Jos\\xc3\\xa9Estados Unidos\"Flag Estados Unidos7 850 0005 030 0005 929 0006 172 5012010\\n
53Singapur - Johor BahruSingapur\"Bandera Singapur
Malasia\"Bandera Malasia\\n		7 800 0006 531 0007 312 0005 719 6442010 2000\\n
54RiadArabia Saudita\"Bandera Arabia Saudita7 750 0006 370 0005 666 0005 188 2862010\\n
55ShantouChina\"Bandera China7 700 0006 287 0006 337 0005 775 2392010\\n
56Boston (incluyendo Providence)Estados Unidos\"Flag Estados Unidos7 650 0005 445 0005 679 0006 153 6282010\\n
57Hong KongChina\"Bandera China7 450 0007 314 0007 246 0007 071 5762011\\n
58FiladelfiaEstados Unidos\"Flag Estados Unidos7 350 0005 585 0005 570 0005 965 3682010\\n
59TorontoCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa17 350 0005 993 0006 456 0005 583 0642011\\n
60DallasEstados Unidos\"Flag Estados Unidos7 100 0005 703 0006 174 0006 426 2102010\\n
61BagdadIrak\"Flag Irak6 850 0006 643 0006 625 0003 841 2681987\\n
62BandungIndonesia\"Bandera Indonesia6 850 0002 544 0005 695 0002 394 8732010\\n
63Xi\\'anChina\"Bandera China6 800 0006 044 0005 977 0005 206 2532010\\n
64Nank\\xc3\\xadnChina\"Bandera China6 700 0006 369 0006 155 0005 827 8882010\\n
65PuneIndia\"Flag India6 700 0005 728 0005 631 0005 057 7092011\\n
66HoustonEstados Unidos\"Flag Estados Unidos6 600 0005 636 0005 764 0005 920 4902010\\n
67MadridEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a6 450 0006 199 0006 171 0003 198 6452011\\n
68MiamiEstados Unidos\"Flag Estados Unidos6 350 0005 817 0005 764 0005 566 2992010\\n
69SuratIndia\"Flag India6 350 0005 650 0005 447 0004 591 2462011\\n
70JartumSud\\xc3\\xa1n\"Flag Sud\\xc3\\xa1n6 150 0005 126 0005 125 0004 272 7282008\\n
71Dar es-SalamTanzania\"Flag Tanzania6 150 0005 116 0004 219 0004 364 5412012\\n
72NairobiKenia\"Bandera Kenia5 950 0003 915 0004 738 0003 133 5182009\\n
73QingdaoChina\"Bandera China5 950 0004 566 0005 816 0003 990 9422010\\n
74AtlantaEstados Unidos\"Flag Estados Unidos5 800 0005 142 0005 015 0005 286 7272010\\n
75Alejandr\\xc3\\xadaEgipto\"Flag Egipto5 700 0004 778 0004 689 0004 028 0282006\\n
76Detroit - WindsorEstados Unidos\"Flag Estados Unidos
Canad\\xc3\\xa1\"Flag Canad\\xc3\\xa1\\n		5 700 0003 954 0003 947 0004 615 5592010 2011\\n
77Regi\\xc3\\xb3n del RuhrAlemania\"Flag Alemania5 700 000---------2011\\n
78San PetersburgoRusia\"Flag Rusia5 600 0004 993 0005 126 0004 879 5662010\\n
79Rang\\xc3\\xbanBirmania\"Bandera Birmania5 500 0004 802 0004 800 0004 728 5242014\\n
80Abiy\\xc3\\xa1nCosta de Marfil\"Bandera Costa de Marfil5 450 0004 860 0004 800 0004 395 2432014\\n
81Am\\xc3\\xa1nJordania\"Bandera Jordania5 450 0004 778 0004 689 0004 028 0282015\\n
82ZhengzhouChina\"Bandera China5 350 0004 387 0004 942 0003 677 0322010\\n
83GuadalajaraM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico5 250 0004 843 0004 603 0004 495 1822010\\n
84WenzhouChina\"Bandera China5 250 0003 208 0004 303 0003 614 2082010\\n
85Mil\\xc3\\xa1nItalia\"Flag Italia5 200 0003 099 0005 257 0001 242 1232011\\n
86S\\xc3\\xaddneyAustralia\"Flag Australia5 200 0004 505 0004 036 0004 028 5252011\\n
86HarbinChina\"Bandera China5 150 0005 457 0004 815 0004 596 3132010\\n
88Colonia - D\\xc3\\xbcsseldorfAlemania\"Flag Alemania5 000 0001 640 0008 783 0001 591 8662011\\n
89AnkaraTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada4 975 0004 750 0004 538 0003 203 3622000\\n
90Belo HorizonteBrasil\"Flag Brasil4 975 0005 716 0004 517 0005 414 7012010\\n
91AcraGhana\"Bandera Ghana4 950 0002 277 0004 145 0002 070 4632010\\n
92MonterreyM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico4 925 0004 513 0004 083 0001 1355122010\\n
93DubaiEmiratos \\xc3\\x81rabes Unidos\"Flag Emiratos \\xc3\\x81rabes Unidos4 900 0004 161 0004 000 0003 900 3902016\\n
94MelbourneAustralia\"Flag Australia4 850 0005 258 0004 693 0001 611 0132010\\n
95ChittagongBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s4 825 0004 539 0003 176 0004 009 4232011\\n
96HefeiChina\"Bandera China4 825 0003 348 0003 665 0003 098 7272010\\n
97JeddahArabia Saudita\"Bandera Arabia Saudita4 775 0004 161 0004 000 0003 900 3902010\\n
98Berl\\xc3\\xadnAlemania\"Flag Alemania4 750 0003 563 0004 069 0003 292 3652011\\n
99ChangshaChina\"Bandera China4 750 000707 0002 180 000561 3142012\\n
100BarcelonaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a4 725 0005 258 0004 693 0001 611 0132011\\n
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Las mayores aglomeraciones urbanas de \\xc3\\x81frica[editar]

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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
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Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en \\xc3\\x81frica seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
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\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1LagosNigeria\"Bandera Nigeria17.100.00013.123.00013.123.0005.195.2471991\\n
2El CairoEgipto\"Flag Egipto16.800.00018.772.00015.600.0007.740.018[n 1]​2006\\n
3Johannesburgo (incl. Pretoria - Vereeniging)Sud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica13.400.00012.613.000[n 2]​12.066.000[n 3]​10.002.039[n 4]​2009\\n
4KinsasaRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo10.600.00011.587.00011.587.0007.273.9472004\\n
5CasablancaMarruecos\"Bandera Marruecos10.150.0005.506.0005.899.0006.377.2462014\\n
6JartumSud\\xc3\\xa1n\"Flag Sud\\xc3\\xa1n5.550.0005.126.0005.125.0004.272.7282008\\n
7Dar es-SalamTanzania\"Flag Tanzania5.300.0005.116.0004.219.0004.364.5412012\\n
8Alejandr\\xc3\\xadaEgipto\"Flag Egipto5.150.0004.778.0004.689.0004.028.0282006\\n
9NairobiKenia\"Bandera Kenia5.200.0003.915.0004.738.0003.133.5182009\\n
10Abiy\\xc3\\xa1nCosta de Marfil\"Bandera Costa de Marfil5.050.0004.860.0004.800.0004.395.2432014\\n
11AcraGhana\"Bandera Ghana4.575.0002.277.0004.145.0002.070.463[n 1]​2010\\n
12LuandaAngola\"Bandera Angola4.175.0003.515.0003.211.0003.359.8182014\\n
13Ciudad del CaboSud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica4.125.0003.660.0003.812.0003.430.9922009\\n
14KanoNigeria\"Bandera Nigeria4.125.0003.587.0003.555.0002.166.5541991\\n
15ArgelArgelia\"Bandera Argelia3.675.0002.594.0002.590.0002.364.230[n 1]​2008\\n
16Ad\\xc3\\xads AbebaEtiop\\xc3\\xada\"Bandera Etiop\\xc3\\xada3.475.0003.238.0003.376.0002.739.5512007\\n
17DakarSenegal\"Bandera Senegal3.300.0003.520.0003.520.0003.026.3162013\\n
18DurbanSud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica3.225.0002.901.0003.421.0002.786.0462009\\n
19Ibad\\xc3\\xa1nNigeria\"Bandera Nigeria3.150.0003.375.0003.160.0001.835.3001991\\n
20KampalaUganda\"Bandera Uganda3.025.0001.936.0001.930.0001.516.210[n 1]​2014\\n
21BamakoMal\\xc3\\xad\"Bandera Mal\\xc3\\xad2.950.0002.515.0002.500.0001.810.3662009\\n
22DualaCamer\\xc3\\xban\"Bandera Camer\\xc3\\xban2.825.0002.943.0002.940.0001.906.9622005\\n
23AbuyaNigeria\"Bandera Nigeria2.825.0002.440.0002.440.000107.0691991\\n
24Yaund\\xc3\\xa9Camer\\xc3\\xban\"Bandera Camer\\xc3\\xban2.725.0003.066.0003.060.0001.817.5242005\\n
25KumasiGhana\"Bandera Ghana2.675.0002.599.0002.500.0002.035.0642010\\n
26T\\xc3\\xbanezT\\xc3\\xbanez\"Bandera T\\xc3\\xbanez2.500.0001.993.0001.990.0002.359.7212014\\n
27HarareZimbabue\"Bandera Zimbabue2.325.0001.501.0002.203.0001.485.2312012\\n
28LusakaZambia\"Flag Zambia2.275.0002.179.0002.190.0001.747.1522010\\n
29AntananarivoMadagascar\"Bandera Madagascar2.225.0002.610.0002.398.000710.2361993\\n
30ConakriGuinea\"Bandera Guinea2.225.0001.936.0001.930.0001.667.8642014\\n
31MaputoMozambique\"Bandera Mozambique2.200.0001.187.0002.615.0001.094.628[n 1]​2007\\n
32Uagadug\\xc3\\xbaBurkina Faso\"Bandera Burkina Faso2.100.0002.741.0002.700.0001.475.2232006\\n
33Port HarcourtNigeria\"Bandera Nigeria2.075.0002.343.0002.340.000703.4211991\\n
34RabatMarruecos\"Bandera Marruecos1.920.0001.967.0001.845.000577.827[n 1]​2014\\n
35BrazzavilleRep\\xc3\\xbablica del Congo\"Bandera Rep\\xc3\\xbablica del Congo1.900.0001.888.0001.850.0001.373.3822007\\n
36LubumbashiRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo1.870.0002.015.0002.000.0001.273.3802004\\n
37Mbuji-MayiRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo1.860.0002.007.0002.000.0001.213.7262004\\n
38Lom\\xc3\\xa9Togo\"Flag Togo1.820.000956.0001.941.0001.477.6582010\\n
39MogadiscioSomalia\"Flag Somalia1.720.0002.138.0002.120.000\\n
40KadunaNigeria\"Bandera Nigeria1.680.0001.048.0001.020.000993.6421991\\n
41Coton\\xc3\\xbaBen\\xc3\\xadn\"Bandera Ben\\xc3\\xadn1.600.000682.000871.000679.012[n 1]​2013\\n
42Benin CityNigeria\"Bandera Nigeria1.480.0001.496.0001.490.000762.7191991\\n
43FreetownSierra Leona\"Bandera Sierra Leona1.440.0001.007.0001.000.000772.8732004\\n
44MonroviaLiberia\"Bandera Liberia1.340.0001.264.0001.100.0001.021.7622008\\n
45Or\\xc3\\xa1nArgelia\"Bandera Argelia1.340.000858.000850.000803.3292008\\n
46YamenaChad\"Flag Chad1.210.0001.260.0001.260.000951.4182009\\n
47Port ElizabethSud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica1.210.0001.179.0001.212.000876.4362011\\n
48FezMarruecos\"Bandera Marruecos1.200.0001.172.0001.193.0001.120.0722014\\n
49MombasaKenia\"Bandera Kenia1.120.0001.104.0001.116.000915.1012009\\n
50NiameyN\\xc3\\xadger\"Bandera N\\xc3\\xadger1.120.0001.090.0001.090.000978.0292012\\n
51Tr\\xc3\\xadpoliLibia\"Bandera Libia1.110.0001.126.0001.110.000591.0621984\\n
52AgadirMarruecos\"Bandera Marruecos1.090.000590.000608.000421.844[n 1]​2014\\n
53OnitshaNigeria\"Bandera Nigeria1.070.0001.109.0001.100.000350.2801991\\n
54Lilong\\xc3\\xbceMalaui\"Bandera Malaui1.070.000905.000900.000674.4482008\\n
55MarrakechMarruecos\"Bandera Marruecos1.060.0001.134.0001.173.000928.8502014\\n
56NuakchotMauritania\"Bandera Mauritania1.060.000968.000950.000958.3992013\\n
57BanguiRep\\xc3\\xbablica Centroafricana\"Bandera Rep\\xc3\\xbablica Centroafricana1.060.000794.000790.000622.7712003\\n
58MaiduguriNigeria\"Bandera Nigeria1.060.000728.000925.000618.2781991\\n
59AbaNigeria\"Bandera Nigeria1.040.000944.000940.000500.1831991\\n
60SusaT\\xc3\\xbanez\"Bandera T\\xc3\\xbanez1.040.000------978.9682014\\n
61KigaliRuanda\"Flag Ruanda1.000.0001.257.0001.121.000859.3322012\\n
62HuamboAngola\"Bandera Angola---1.269.0001.260.00061.8851970\\n
63KanangaRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo---1.169.0001.150.000720.3622004\\n
64KisanganiRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo---1.040.0001.000.000682.5992004\\n
65Zaria Nigeria\"Bandera Nigeria---703.0001.025.000612.2571991\\n
\\n

Las mayores aglomeraciones urbanas de Am\\xc3\\xa9rica[editar]

\\n\\n\\n\\n\\n\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las 50 mayores aglomeraciones urbanas del continente americano:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Ciudad de M\\xc3\\xa9xicoM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico22.300.000\\n22.452.00022.063.00020.555.2722010\\n
2Nueva YorkEstados Unidos\"Flag Estados Unidos22.200.00021.900.00020.630.00019.556.440\\n

2010\\n

\\n
3S\\xc3\\xa3o PauloBrasil\"Flag Brasil21.900.00021.600.00020.365.00019.683.9752010\\n
4Los \\xc3\\x81ngeles (incluyendo Riverside y San Bernardino)Estados Unidos\"Flag Estados Unidos17.600.00014.504.00015.058.00017.053.9052010\\n
5Buenos AiresArgentina\"Flag Argentina15.800.00015.180.00014.122.00013.588.1712010\\n
6R\\xc3\\xado de JaneiroBrasil\"Flag Brasil12.700.00012.902.00011.727.00011.835.7082010\\n
7LimaPer\\xc3\\xba\"Flag Per\\xc3\\xba10.300.00010.600.00010.500.0008.324.5102007\\n
8ChicagoEstados Unidos\"Flag Estados Unidos9.800.0008.745.0009.156.0009.461.5372010\\n
9Bogot\\xc3\\xa1 (incl. Ch\\xc3\\xada - Soacha - Mosquera - La Calera - Funza - Madrid)Colombia\"Flag Colombia9.550.0008.197.0008.950.0006.472.9352005\\n
10Washington D. C. (incluyendo Baltimore)Estados Unidos\"Flag Estados Unidos8.350.0007.222.0007.152.0008.347.0032010\\n
11San Francisco (incluyendo San Jos\\xc3\\xa9)Estados Unidos\"Flag Estados Unidos7.600.0005.030.0005.929.0006.172.5012010\\n
12Boston (incluyendo Providence)Estados Unidos\"Flag Estados Unidos7.350.0005.445.0005.679.0006.153.6282010\\n
13FiladelfiaEstados Unidos\"Flag Estados Unidos7.300.0005.585.0005.570.0005.965.3682010\\n
14Santiago de ChileChile\"Flag Chile7.150.0005.703.0006.174.0006.426.2102010\\n
15TorontoCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa17.100.0005.993.0006.456.0005.583.0642011\\n
16HoustonEstados Unidos\"Flag Estados Unidos6.200.0005.636.0005.764.0005.920.4902010\\n
17MiamiEstados Unidos\"Flag Estados Unidos6.100.0005.817.0005.764.0005.566.2992010\\n
18DallasEstados Unidos\"Flag Estados Unidos5.985.0005.507.0005.225.0004.656.6902002\\n
19Detroit - WindsorEstados Unidos\"Flag Estados Unidos
Canad\\xc3\\xa1\"Flag Canad\\xc3\\xa1\\n		5.700.0003.954.0003.947.0004.615.5592010 2011\\n
20CaracasVenezuela\"Flag Venezuela5.690.0004.513.0004.083.0002.904.3762011\\n
21AtlantaEstados Unidos\"Flag Estados Unidos5.500.0005.142.0005.015.0005.286.7272010\\n
22GuadalajaraM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico5.007 7564.843.0004.603.0004.495.1822010\\n
23Belo HorizonteBrasil\"Flag Brasil4.925.0005.716.0004.517.0005.414.7012010\\n
24MonterreyM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico4.456.0004.810.0004.513.0001.135.5122010\\n
24PhoenixEstados Unidos\"Flag Estados Unidos4.325.0004.063.0004.194.0004.193.1272010\\n
25MontrealCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa14.100.0003.981.0003.536.0003.824.2212011\\n
26Porto AlegreBrasil\"Flag Brasil4.075.0003.603.0003.413.0003.958.9852010\\n
27SeattleEstados Unidos\"Flag Estados Unidos4.075.0003.249.0003.218.0003.439.8152010\\n
28TampaEstados Unidos\"Flag Estados Unidos4.025.0002.659.0002.621.0002.783.5142010\\n
29BrasiliaBrasil\"Flag Brasil3.925.0004.155.0002.536.0003.717.7282010\\n
30Medell\\xc3\\xadnColombia\"Flag Colombia3.900.0003.911.0003.568.0002.175.6812005\\n
31RecifeBrasil\"Flag Brasil3.775.0003.739.0003.347.0003.690.5472010\\n
32Salvador de Bah\\xc3\\xadaBrasil\"Flag Brasil3.650.0003.583.0003.190.0003.573.9732010\\n
33Santo DomingoRep\\xc3\\xbablica Dominicana\"Flag Rep\\xc3\\xbablica Dominicana3.650.0002.945.0002.925.0002.581.8272010\\n
34FortalezaBrasil\"Flag Brasil3.575.0003.880.0003.401.0003.615.7672010\\n
35DenverEstados Unidos\"Flag Estados Unidos3.525.0002.599.0002.559.0002.543.5942010\\n
36MaracaiboVenezuela\"Flag Venezuela3.400.0002.916.0002.861.0002.904.3762011\\n
37CuritibaBrasil\"Flag Brasil3.275.0003.474.0003.102.0003.174.2012010\\n
38San DiegoEstados Unidos\"Flag Estados Unidos3.275.0003.107.0003.086.0003.095.3082010\\n
39CaliColombia\"Flag Colombia3.250.0002.646.0002.357.0002.083.1712005\\n
40ClevelandEstados Unidos\"Flag Estados Unidos3.075.0001.773.0001.783.0002.077.2462010\\n
41OrlandoEstados Unidos\"Flag Estados Unidos3.075.0001.731.0002.040.0002.134.4182010\\n
42CampinasBrasil\"Flag Brasil3.050.0003.047.0002.645.0002.797.1372010\\n
43MinneapolisEstados Unidos\"Flag Estados Unidos3.050.0002.791.0002.771.0003.348.8572010\\n
44Ciudad de GuatemalaGuatemala\"Flag Guatemala3.000.0002.918.0001.289.000942.3482002\\n
45GuayaquilEcuador\"Flag Ecuador3.000.0002.709.0002.700.0002.278.6912010\\n
46Puebla de ZaragozaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico2.975.0002.984.0002.088.0001.434.0622010\\n
47Puerto Pr\\xc3\\xadncipeHait\\xc3\\xad\"Bandera Hait\\xc3\\xad2.850.0002.440.0002.440.000703.0232003\\n
48CincinnatiEstados Unidos\"Flag Estados Unidos2.725.0001.688.0001.682.0002.114.7552010\\n
49QuitoEcuador\"Flag Ecuador2.550.0001.726.0001.720.0001.607.7342010\\n
50VancouverCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa12.500.0002.485.0002.273.0002.313.3282011\\n
51\\nBarranquilla\\nColombia\"Flag Colombia\\n2.450.000\\n1.500.000\\n1.218.000\\n1.967.000\\n2005\\n
\\n

Las mayores aglomeraciones urbanas de Am\\xc3\\xa9rica del Norte[editar]

\\n\\n\\n\\n\\n\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Am\\xc3\\xa9rica del Norte seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Ciudad de M\\xc3\\xa9xico (incluyendo la zona metropolitana del valle de M\\xc3\\xa9xico)M\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico22.100.00022.452.00020.063.0008.555.272[n 1]​2010\\n
2Nueva YorkEstados Unidos\"Flag Estados Unidos22.000.00019.532.00020.630.00019.556.440\\n

2010\\n

\\n
3Los \\xc3\\x81ngeles (incluyendo Riverside y San Bernardino)Estados Unidos\"Flag Estados Unidos17.600.00014.504.000[n 2]​15.058.000[n 3]​17.053.905[n 4]​2010\\n
4ChicagoEstados Unidos\"Flag Estados Unidos9.800.0008.745.0009.156.0009.461.5372010\\n
5Washington D. C. (incluyendo Baltimore)Estados Unidos\"Flag Estados Unidos8.350.0007.222.000[n 2]​7.152.000[n 3]​8.347.003[n 4]​2010\\n
6San Francisco (incluyendo San Jos\\xc3\\xa9)Estados Unidos\"Flag Estados Unidos7.600.0005.030.000 [n 2]​5.929.0006.172.501[n 4]​2010\\n
7Boston (incluyendo Providence)Estados Unidos\"Flag Estados Unidos7.350.0005.445.000[n 2]​5.679.000[n 3]​6.153.628[n 4]​2010\\n
8FiladelfiaEstados Unidos\"Flag Estados Unidos7.300.0005.585.0005.570.0005.965.3682010\\n
9TorontoCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa17.100.0005.993.0006.456.0005.583.0642011\\n
10DallasEstados Unidos\"Flag Estados Unidos6.550.0005.703.0006.174.0006.426.2102010\\n
11HoustonEstados Unidos\"Flag Estados Unidos6.200.0005.636.0005.764.0005.920.4902010\\n
12MiamiEstados Unidos\"Flag Estados Unidos6.100.0005.817.0005.764.0005.566.2992010\\n
13Detroit - WindsorEstados Unidos\"Flag Estados Unidos
Canad\\xc3\\xa1\"Flag Canad\\xc3\\xa1\\n		5.700.0003.954.000[n 2]​3.947.000[n 3]​4.615.559[n 4]​2010 2011\\n
14AtlantaEstados Unidos\"Flag Estados Unidos5.500.0005.142.0005.015.0005.286.7272010\\n
15GuadalajaraM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico4.975.0004.843.0004.603.0001.495.182[n 1]​2010\\n
16MonterreyM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico4.650.0004.513.0004.083.0001.135.512[n 1]​2010\\n
17PhoenixEstados Unidos\"Flag Estados Unidos4.325.0004.063.0004.194.0004.193.1272010\\n
18MontrealCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa14.100.0003.981.0003.536.0003.824.2212011\\n
19SeattleEstados Unidos\"Flag Estados Unidos4.075.0003.249.0003.218.0003.439.8152010\\n
20TampaEstados Unidos\"Flag Estados Unidos4.025.0002.659.0002.621.0002.783.5142010\\n
21DenverEstados Unidos\"Flag Estados Unidos3.525.0002.599.0002.559.0002.543.5942010\\n
22San DiegoEstados Unidos\"Flag Estados Unidos3.275.0003.107.0003.086.0003.095.3082010\\n
23ClevelandEstados Unidos\"Flag Estados Unidos3.075.0001.773.0001.783.0002.077.2462010\\n
24OrlandoEstados Unidos\"Flag Estados Unidos3.075.0001.731.0002.040.0002.134.4182010\\n
25MinneapolisEstados Unidos\"Flag Estados Unidos3.050.0002.791.0002.771.0003.348.8572010\\n
26Puebla de ZaragozaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico2.975.0002.984.0002.088.0001.434.062[n 1]​2010\\n
27CincinnatiEstados Unidos\"Flag Estados Unidos2.725.0001.688.0001.682.0002.114.7552010\\n
28VancouverCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa12.500.0002.485.0002.273.0002.313.3282011\\n
29Saint LouisEstados Unidos\"Flag Estados Unidos2.350.0002.184.0002.186.0002.787.7522010\\n
30Salt Lake CityEstados Unidos\"Flag Estados Unidos2.300.0001.096.0001.085.0001.087.8732010\\n
31PortlandEstados Unidos\"Flag Estados Unidos2.275.0002.001.0001.976.0002.226.0112010\\n
32CharlotteEstados Unidos\"Flag Estados Unidos2.275.0001.616.0001.535.0002.217.2482010\\n
33Toluca de LerdoM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico2.150.0002.164.0001.878.000489.333[n 1]​2010\\n
34Las VegasEstados Unidos\"Flag Estados Unidos2.075.0002.270.0002.191.0001.951.2692010\\n
35PittsburghEstados Unidos\"Flag Estados Unidos2.075.0001.719.0001.730.0002.356.2852010\\n
36San AntonioEstados Unidos\"Flag Estados Unidos2.050.0002.030.0001.976.0002.142.5182010\\n
37SacramentoEstados Unidos\"Flag Estados Unidos1.980.0001.920.0001.885.0002.149.1432010\\n
38Kansas CityEstados Unidos\"Flag Estados Unidos1.920.0001.604.0001.593.0002.009.3382010\\n
39Indian\\xc3\\xa1polisEstados Unidos\"Flag Estados Unidos1.910.0001.646.0001.617.0001.888.0822010\\n
40TijuanaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.880.0001.987.0001.968.0001.300.983[n 1]​2010\\n
41Le\\xc3\\xb3nM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.800.0001.807.0001.469.0001.238.962[n 1]​2010\\n
42AustinEstados Unidos\"Flag Estados Unidos1.740.0001.684.0001.616.0001.716.3032010\\n
43HartfordEstados Unidos\"Flag Estados Unidos1.700.000963.000960.0001.212.3872010\\n
44ColumbusEstados Unidos\"Flag Estados Unidos1.640.0001.505.0001.481.0001.902.0152010\\n
45Virginia BeachEstados Unidos\"Flag Estados Unidos1.610.0001.460.0001.463.0001.676.8172010\\n
46MilwaukeeEstados Unidos\"Flag Estados Unidos1.540.0001.409.0001.408.0001.555.9542010\\n
47RaleighEstados Unidos\"Flag Estados Unidos1.524.0001.140.0001.085.0001.130.4902010\\n
48Ciudad Ju\\xc3\\xa1rezM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.513.0001.440.0001.391.0001.321.004[n 1]​2010\\n
49CalgaryCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa11.470.0001.397.0001.189.0001.214.8392011\\n
50B\\xc3\\xbafalo - St. CatharinesEstados Unidos\"Flag Estados Unidos
Canad\\xc3\\xa1\"Flag Canad\\xc3\\xa1\\n		1.450.0001.396.000 [n 2]​1.232.000 [n 3]​1.527.725 [n 4]​2010 2011\\n
51NashvilleEstados Unidos\"Flag Estados Unidos1.430.0001.255.0001.081.0001.670.9002010\\n
52JacksonvilleEstados Unidos\"Flag Estados Unidos1.390.0001.272.0001.154.0001.345.5962010\\n
53Torre\\xc3\\xb3nM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.373.0001.332.0001.327.000608.836[n 1]​2010\\n
54HarrisburgEstados Unidos\"Flag Estados Unidos1.370.000493.000484.000549.4732010\\n
55Santiago de Quer\\xc3\\xa9taroM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.280.0001.267.0001.249.000626.495[n 1]​2010\\n
56EdmontonCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa11.270.0001.272.0001.040.0001.159.8692011\\n
57McAllenEstados Unidos\"Flag Estados Unidos1.270.000864.000838.000774.7732010\\n
58StocktonEstados Unidos\"Flag Estados Unidos1.200.000403.000371.000685.3082010\\n
59OttawaCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa11.180.0001.326.000994.0001.236.3242011\\n
60San Luis Potos\\xc3\\xadM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.150.0001.147.0001.137.000722.772[n 1]​2010\\n
61MemphisEstados Unidos\"Flag Estados Unidos1.150.0001.106.0001.102.0001.324.8292010\\n
62MelbourneEstados Unidos\"Flag Estados Unidos1.110.000486.000482.000543.3782010\\n
63Oklahoma CityEstados Unidos\"Flag Estados Unidos1.090.000926.000917.0001.252.9922010\\n
64GreensboroEstados Unidos\"Flag Estados Unidos1.090.000337.000334.000723.7982010\\n
65M\\xc3\\xa9ridaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.070.0001.068.0001.111.000777.615[n 1]​2010\\n
66AguascalientesM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.060.0001.031.0001.020.000722.250[n 1]​2010\\n
67LouisvilleEstados Unidos\"Flag Estados Unidos1.040.0001.032.0001.025.0001.235.7102010\\n
68RichmondEstados Unidos\"Flag Estados Unidos1.030.0001.030.0001.018.0001.208.0802010\\n
69El PasoEstados Unidos\"Flag Estados Unidos1.020.000877.000865.000804.1232010\\n
70MexicaliM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.010.0001.034.0001.018.000689.775[n 1]​2010\\n
71Nueva OrleansEstados Unidos\"Flag Estados Unidos1.010.000921.000922.0001.189.8632010\\n
72CuernavacaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.010.000993.000990.000338.650[n 1]​2010\\n
73ChihuahuaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.002.000941.000940.000809.2322010\\n
74SaltilloM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico994.000932.000917.000709.6712010\\n
75AcapulcoM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico977.000920.000812.000297.284 [n 1]​2010\\n
\\n

Las mayores aglomeraciones urbanas de Am\\xc3\\xa9rica Central y del Caribe[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Am\\xc3\\xa9rica Central y del Caribe, seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Santo DomingoRep\\xc3\\xbablica Dominicana\"Flag Rep\\xc3\\xbablica Dominicana3.650.0002.945.0002.925.0002.581.827[n 1]​2010\\n
2Ciudad de GuatemalaGuatemala\"Flag Guatemala3.000.0002.918.0001.289.000942.348[n 1]​2002\\n
3Puerto Pr\\xc3\\xadncipeHait\\xc3\\xad\"Bandera Hait\\xc3\\xad2.850.0002.440.0002.440.000703.023[n 1]​2003\\n
4La HabanaCuba\"Flag Cuba2.225.0002.137.0002.130.0002.106.1462012\\n
5San JuanPuerto Rico\"Bandera Puerto Rico2.150.0002.463.0002.139.0002.350.3062010\\n
6San Jos\\xc3\\xa9Costa Rica\"Flag Costa Rica1.840.0001.170.0001.170.000\\n
7San SalvadorEl Salvador\"Bandera El Salvador1.820.0001.098.0001.100.000316.090[n 1]​2007\\n
8Panam\\xc3\\xa1Panam\\xc3\\xa1\"Flag Panam\\xc3\\xa11.460.0001.673.0001.498.000430.299[n 1]​2010\\n
9ManaguaNicaragua\"Flag Nicaragua1.340.000956.000980.000908.8922005\\n
10San Pedro SulaHonduras\"Real Honduras1.110.000852.000---483.3842001\\n
11TegucigalpaHonduras\"Real Honduras1.090.0001.123.0001.120.000819.8672001\\n
\\n

Las mayores aglomeraciones urbanas de Am\\xc3\\xa9rica del Sur[editar]

\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Am\\xc3\\xa9rica del Sur, seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1S\\xc3\\xa3o PauloBrasil\"Flag Brasil21.800.00021.066.00020.365.00019.683.9752010\\n
2Buenos AiresArgentina\"Flag Argentina15.800.00015.180.00014.122.00013.588.1712010\\n
3R\\xc3\\xado de JaneiroBrasil\"Flag Brasil12.700.00012.902.00011.727.00011.835.7082010\\n
4Lima (incluyendo Callao)Per\\xc3\\xba\"Flag Per\\xc3\\xba10.300.00010.247.00010.950.0008.472.9352007\\n
Bogot\\xc3\\xa1Colombia\"Flag Colombia9.550.0009.005.0009.500.0006.324.5102005\\n
6Santiago de ChileChile\"Flag Chile7.150.0006.507.0006.225.0004.628.5902002\\n
7CaracasVenezuela\"Flag Venezuela5.690.0002.916.0002.861.0002.904.3762011\\n
8Belo HorizonteBrasil\"Flag Brasil4.925.0005.716.0004.517.0005.414.7012010\\n
9Medell\\xc3\\xadnColombia\"Flag Colombia4.525.0003.911.0003.568.0002.175.6812005\\n
10Porto AlegreBrasil\"Flag Brasil4.175.0003.603.0003.413.0003.958.9852010\\n
11BrasiliaBrasil\"Flag Brasil4.125.0004.155.0002.536.0003.717.7282010\\n
12RecifeBrasil\"Flag Brasil4.105.0003.739.0003.347.0003.690.5472010\\n
13Salvador de Bah\\xc3\\xadaBrasil\"Flag Brasil4.091.0003.583.0003.190.0003.573.9732010\\n
14FortalezaBrasil\"Flag Brasil4.089.0003.880.0003.401.0003.615.7672010\\n
15MaracaiboVenezuela\"Flag Venezuela4.083.0002.196.0002.037.0001.878.7702011\\n
16GuayaquilEcuador\"Flag Ecuador4.081.0002.709.0002.700.0002.278.6912010\\n
17CuritibaBrasil\"Flag Brasil4.072.0003.474.0003.350.0003.174.2012010\\n
18CaliColombia\"Flag Colombia4.061.0002.656.0002.557.0002.089.171\\n
19CampinasBrasil\"Flag Brasil3.550.0003.047.0002.645.0002.797.1372010\\n
20QuitoEcuador\"Flag Ecuador3.005.0001.726.0001.720.0001.607.7342010\\n
21BarranquillaColombia\"Flag Colombia2.450.0001.991.0001.748.0001.142.3122005\\n
22Goi\\xc3\\xa2niaBrasil\"Flag Brasil2.250.0002.285.0002.117.0002.173.1412010\\n
23Asunci\\xc3\\xb3nParaguay\"Flag Paraguay2.200.0002.356.0002.827.0001.659.5012002\\n
24Bel\\xc3\\xa9mBrasil\"Flag Brasil2.150.0002.182.0001.979.9002.101.8832010\\n
25ValenciaVenezuela\"Flag Venezuela2.120.0001.734.0001.477.0001.378.9582011\\n
26ManaosBrasil\"Flag Brasil2.075.0002.025.0001.893.0002.106.3222010\\n
27\\nBarquisimeto\\n\"Bandera Venezuela\\n2.200.457\\n1.997.770\\n1.972.233\\n1.408.733\\n2015\\n
28La PazBolivia\"Flag Bolivia1.890.0001.816.0001.907.000758.845[n 1]​2012\\n
29Santa CruzBolivia\"Flag Bolivia1.860.0002.107.0002.110.0001.442.396[n 1]​2012\\n
30MontevideoUruguay\"Flag Uruguay1.830.0001.707.0001.700.0001.304.6872011\\n
31Vit\\xc3\\xb3riaBrasil\"Flag Brasil1.790.0001.636.0001.172.0001.687.7042010\\n
32BucaramangaColombia\"Flag Colombia1.726.0001.215.0001.029.000509.2162017\\n
33SantosBrasil\"Flag Brasil1.690.0001.539.0001.653.0001.664.1362010\\n
34Gran C\\xc3\\xb3rdobaArgentina\"Flag Argentina1.620.0001.511.0001.585.0001.453.8652010\\n
35CartagenaColombia\"Flag Colombia1.616.8091.104.6451.001.045852.2282005\\n
36S\\xc3\\xa3o Lu\\xc3\\xadsBrasil\"Flag Brasil1.500.0001.437.0001.171.0001.331.0042010\\n
37NatalBrasil\"Flag Brasil1.370.0001.167.0001.064.0001.351.0042010\\n
38MaracayVenezuela\"Flag Venezuela1.370.0001.166.0001.135.000401.294[n 1]​2011\\n
39Gran RosarioArgentina\"Flag Argentina1.350.0001.381.0001.338.0001.236.0892010\\n
40CochabambaBolivia\"Flag Bolivia1.200.0001.240.0001.238.000632.013[n 1]​2012\\n
41Gran San Miguel de Tucum\\xc3\\xa1nArgentina\"Flag Argentina---1.195.672920.000797.3272010\\n
42Macei\\xc3\\xb3Brasil\"Flag Brasil1.110.0001.266.000977.0001.156.3642010\\n
43Jo\\xc3\\xa3o PessoaBrasil\"Flag Brasil1.110.0001.093.0001.052.0001.198.5762010\\n
44ArequipaPer\\xc3\\xba\"Flag Per\\xc3\\xba1.080.6531.080.6531.080.6531.080.6532007\\n
45Gran MendozaArgentina\"Flag Argentina1.050.0001.009.000997.000937.1542010\\n
46ConcepcionChile\"Flag Chile1.001.285907.000872.000951.3112002\\n
47TeresinaBrasil\"Flag Brasil1.010.000959.000950.0001.150.9592010\\n
48TrujilloPer\\xc3\\xba\"Flag Per\\xc3\\xba970 000970 000970 000970 0002005\\n
49\\nGran Valparaiso\\nChile\\n956.000\\n
50Gran La PlataArgentina\"Flag Argentina---834.000---787.2942010\\n
51PereiraColombia\"Flag Colombia711.034709.338552.000587.4122005\\n
52Ibagu\\xc3\\xa9Colombia\"Flag Colombia665.504656.504650.000523.8932005\\n
53Mar del PlataArgentina\"Flag Argentina---635.000635.000787.2942010\\n
54ChiclayoPer\\xc3\\xba\"Flag Per\\xc3\\xba618 233618 233618 233618 2332005\\n
\\n

Las mayores aglomeraciones urbanas de Asia[editar]

\\n\\n\\n\\n\\n\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
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Las 50 mayores aglomeraciones urbanas del continente asi\\xc3\\xa1tico.\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Cant\\xc3\\xb3n (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)China\"Bandera China46.900.00042.941.00045.553.00039.264.0862010\\n
2TokioJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n39.500.00038.001.00037.843.0008.945.6952010\\n
3Shangh\\xc3\\xa1i (incl. Suzhou, Kunshan)China\"Bandera China30.400.00029.213.00030.477.00025.420.2882010\\n
4Yakarta (incluyendo Bogor)Indonesia\"Bandera Indonesia30.100.00011.399.00030.539.00010.558.1212010\\n
5DelhiIndia\"Flag India28.400.00025.703.00024.998.00016.349.8312011\\n
6KarachiPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n25.300.00016.618.00022.123.00021.142.6252011\\n
7ManilaFilipinas\"Bandera Filipinas24.600.00012.946.00024.123.0001.652.1712010\\n
8Bombay (incluyendo Kalyan y Vasai-Virar)India\"Flag India24.300.00021.043.00021.732.00019.617.3022011\\n
9Se\\xc3\\xbal (incluyendo Incheon y Suwon)Corea del Sur\"Bandera Corea del Sur24.100.00010.558.00023.480.00023.836.2722010\\n
10DacaBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s22.300.00017.598.00015.669.00014.543.1242011\\n
11Pek\\xc3\\xadnChina\"Bandera China20.700.00020.384.00021.009.00016.446.8572010\\n
12OsakaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n19.800.00020.238.00017.444.0002.665.3142010\\n
13Bangkok (incluyendo Samut Prakan)Tailandia\"Flag Tailandia16.700.00011.084.00014.998.0008.986.2182010\\n
14CalcutaIndia\"Flag India15.900.00014.865.00014.667.00014.057.9912011\\n
15Teher\\xc3\\xa1n (incluyendo Karaj)Ir\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n13.600.00010.239.00013.532.0009.768.6772011\\n
16TianjinChina\"Bandera China11.200.00011.210.00010.920.0009.290.2632010\\n
17NagoyaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n10.400.0009.406.00010.177.0002.263.8942010\\n
18BangaloreIndia\"Flag India10.300.00010.087.0009.807.0008.520.4352011\\n
19LahorePakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n9.950.0008.741.00010.052.0005.143.4951998\\n
20Madr\\xc3\\xa1sIndia\"Flag India9.900.0009.890.0009.714.0008.653.5212011\\n
21Xiamen (incluyendl Quanzhou)China\"Bandera China9.850.0005.825.00011.130.0004.273.8412010\\n
22ChengduChina\"Bandera China9.400.0007.556.00010.376.0006.316.9222010\\n
23Taip\\xc3\\xa9iTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n9.000.0002.666.0007.438.000\\n
24HyderabadIndia\"Flag India8.900.0008.942.0008.754.0007.677.0182011\\n
25Hangzhou (incluyendo Shaoxing)China\"Bandera China8.150.0008.467.0009.625.0006.887.8192010\\n
26Ciudad Ho Chi MinhVietnam\"Bandera Vietnam8.150.0007.298.0008.957.0005.880.6152009\\n
27WuhanChina\"Bandera China7.950.0007.906.0007.509.0007.541.5272010\\n
28Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)China\"Bandera China7.850.0006.287.0006.337.0005.775.2392010\\n
29Shenyang (incluyendo Fushun)China\"Bandera China7.600.0007.613.0007.402.0007.037.0402010\\n
30AhmedabadIndia\"Flag India7.350.0007.343.0007.186.0006.357.6932011\\n
31Hong KongHong Kong\"Bandera Hong Kong7.200.0007.314.0007.246.0007.071.5762011\\n
32ChongqingChina\"Bandera China6.950.00013.332.0007.217.0006.263.7902010\\n
33Kuala LumpurMalasia\"Bandera Malasia6.950.0006.837.0007.088.0001.305.7922000\\n
34Singapur - Johor BahruSingapur\"Bandera Singapur
Malasia\"Bandera Malasia\\n		6.900.0006.531.0007.312.0005.719.6442010 2000\\n
35Nank\\xc3\\xadnChina\"Bandera China6.750.0007.369.0006.155.0005.827.8882010\\n
36BagdadIrak\"Flag Irak6.750.0006.643.0006.625.0003.841.2681987\\n
37RiadArabia Saudita\"Bandera Arabia Saudita6.550.0006.370.0005.666.0005.188.2862010\\n
38Xi\\'anChina\"Bandera China6.550.0006.044.0005.977.0005.206.2532010\\n
39PuneIndia\"Flag India6.000.0005.728.0005.631.0005.057.7092011\\n
40BandungIndonesia\"Bandera Indonesia5.900.0002.544.0005.695.0002.394.8732010\\n
41Wenzhou (incluyendo Rui\\'an)China\"Bandera China5.800.0003.208.0004.303.0003.614.2082010\\n
42QingdaoChina\"Bandera China5.650.0004.566.0005.816.0003.990.9422010\\n
43SuratIndia\"Flag India5.600.0005.650.0005.447.0004.591.2462011\\n
44HarbinChina\"Bandera China5.100.0005.457.0004.815.0004.596.3132010\\n
45Rang\\xc3\\xbanBirmania\"Bandera Birmania5.100.0004.802.0004.800.0004.728.5242014\\n
46Kitakyushu - FukuokaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n4.725.0005.510.0004.505.0002.440.5892010\\n
47SurabayaIndonesia\"Bandera Indonesia4.675.0002.853.0004.881.0002.765.4872010\\n
48ColomboSri Lanka\"Bandera Sri Lanka4.650.000707.0002.180.000561.3142012\\n
49AnkaraTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada4.625.0004.750.0004.538.0003.203.3622000\\n
50ZhengzhouChina\"Bandera China4.600.0004.387.0004.942.0003.677.0322010\\n
\\n

Las mayores aglomeraciones urbanas de Oriente Medio, Asia Central y Siberia[editar]

\\n\\n\\n\\n\\n\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Oriente Medio, Asia Central y Asia del Norte seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Teher\\xc3\\xa1n (incluyendo Karaj)Ir\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n13.600.00010.239.000[n 2]​13.532.0009.768.677[n 4]​2011\\n
2BagdadIrak\"Flag Irak6.750.0006.643.0006.625.0003.841.2681987\\n
3RiadArabia Saudita\"Bandera Arabia Saudita6.550.0006.370.0005.666.0005.188.2862010\\n
4AnkaraTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada4.625.0004.750.0004.538.0003.203.3622000\\n
5YidaArabia Saudita\"Bandera Arabia Saudita4.175.0004.076.0003.677.0003.430.6972010\\n
6KuwaitKuwait\"Flag Kuwait4.075.0002.779.0004.283.000\\n
7Dub\\xc3\\xa1i (incluyendo Sarja)Emiratos \\xc3\\x81rabes Unidos\"Flag Emiratos \\xc3\\x81rabes Unidos3.800.0003.694.000[n 2]​3.933.000989.276[n 4]​1995\\n
8DamascoSiria\"Bandera Siria3.650.0002.566.0002.560.0001.414.9132004\\n
9KabulAfganist\\xc3\\xa1n\"Bandera Afganist\\xc3\\xa1n3.600.0004.635.0004.635.000913.1641979\\n
10Am\\xc3\\xa1nJordania\"Bandera Jordania3.325.0001.155.0002.468.0001.036.3302004\\n
11AlepoSiria\"Bandera Siria3.050.0003.562.0003.560.0002.132.1002004\\n
12MashhadIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n3.050.0003.014.0003.294.0002.749.3742011\\n
13EsmirnaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada2.925.0003.040.0003.112.0002.232.2652000\\n
14Isfah\\xc3\\xa1nIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n2.725.0001.880.0002.392.0001.756.1262011\\n
15TaskentUzbekist\\xc3\\xa1n\"Bandera Uzbekist\\xc3\\xa1n2.625.0002.251.0002.250.0002.072.4591989\\n
16Tel AvivIsrael\"Bandera Israel2.475.0003.608.0002.979.000348.2451995\\n
17San\\xc3\\xa1Yemen\"Bandera Yemen2.425.0002.962.0002.980.0001.707.5312004\\n
18Bak\\xc3\\xbaAzerbaiy\\xc3\\xa1n\"Bandera Azerbaiy\\xc3\\xa1n2.425.0002.374.0002.661.0001.150.0551989\\n
19DammamArabia Saudita\"Bandera Arabia Saudita2.350.0001.064.0001.019.000903.3122010\\n
20BursaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.930.0001.923.0001.839.0001.194.6872000\\n
21La MecaArabia Saudita\"Bandera Arabia Saudita1.840.0001.771.0001.647.0001.534.7312010\\n
22Franja de Gaza\"Bandera Palestina1.760.000624.000620.000483.8692007\\n
23AlmatyKazajist\\xc3\\xa1n\"Flag Kazajist\\xc3\\xa1n1.750.0001.523.0001.500.0001.365.6321999\\n
24MosulIrak\"Flag Irak1.680.0001.694.0001.675.000664.2211987\\n
25ShirazIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n1.680.0001.661.0001.873.0001.460.6652011\\n
26AdanaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.670.0001.830.0001.830.0001.130.7102000\\n
27Novosibirsk [n 5]​Rusia\"Flag Rusia1.640.0001.497.0001.486.0002010\\n
28BeirutL\\xc3\\xadbano\"Bandera L\\xc3\\xadbano1.630.0002.226.0002.200.000474.8701970\\n
29TabrizIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n1.610.0001.572.0001.693.0001.494.9982011\\n
30Ekaterimburgo [n 5]​Rusia\"Flag Rusia1.590.0001.379.0001.361.0001.473.7542010\\n
31GaziantepTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.530.0001.528.0001.394.000853.5132000\\n
32Erev\\xc3\\xa1nArmenia\"Bandera Armenia1.480.0001.044.0001.274.0001.060.1382011\\n
33Cheli\\xc3\\xa1binsk [n 5]​Rusia\"Flag Rusia1.390.0001.157.0001.150.0001.130.1322010\\n
34BasoraIrak\"Flag Irak1.390.0001.019.0001.000.000406.2961987\\n
35MedinaArabia Saudita\"Bandera Arabia Saudita1.320.0001.280.0001.233.0001.100.0932010\\n
36AhvazIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n1.240.0001.060.0001.315.0001.112.0212011\\n
37TiflisGeorgia\"Bandera Georgia1.230.0001.147.0001.125.0001.073.3452002\\n
38KonyaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.190.0001.194.0001.190.000742.6902000\\n
39Omsk [n 5]​Rusia\"Flag Rusia1.180.0001.162.0001.154.0001.154.1162010\\n
40QomIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n1.160.0001.204.0001.101.0001.074.0362011\\n
41ErbilIrak\"Flag Irak1.150.0001.166.0001.150.000485.9681987\\n
42AntalyaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.140.0001.072.0001.070.000603.1902000\\n
43AsjabadTurkmenist\\xc3\\xa1n\"Flag Turkmenist\\xc3\\xa1n1.140.000746.000740.000401.1351989\\n
44Abu DabiEmiratos \\xc3\\x81rabes Unidos\"Flag Emiratos \\xc3\\x81rabes Unidos1.120.0001.145.000982.000398.6951995\\n
45KirkukIrak\"Flag Irak1.110.000650.000650.000418.6241987\\n
46Krasnoyarsk [n 5]​Rusia\"Flag Rusia1.080.0001.008.000998.000973.8262010\\n
47KayseriTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.050.000904.000900.000536.3922000\\n
48HomsSiria\"Bandera Siria---1.641.0001.640.000652.6092004\\n
49HamaSiria\"Bandera Siria---1.237.0001.230.000312.9942004\\n
50HaifaIsrael\"Bandera Israel---1.097.0001.090.000255.9141995\\n
51SolimaniaIrak\"Flag Irak---1.004.0001.000.000364.0961987\\n
52DiyarbakirTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada---926.000920.000545.9832000\\n
53NayafIrak\"Flag Irak---889.000880.000309.0102000\\n
54Ad\\xc3\\xa9nYemen\"Bandera Yemen---882.000880.000588.9382004\\n
55BiskekKirguist\\xc3\\xa1n\"Flag Kirguist\\xc3\\xa1n---865.000850.000821.9152009\\n
\\n

Las mayores aglomeraciones urbanas del subcontinente indio[editar]

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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en el subcontinente indio seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
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\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1DelhiIndia\"Flag India26.000.00025.703.00024.998.00016.349.8312011\\n
2KarachiPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n24.000.00016.618.00022.123.00021.142.6252011\\n
3Bombay (incluyendo Kalyan y Vasai-Virar)India\"Flag India23.000.00021.043.00021.732.000 [n 3]​19.617.302[n 4]​2011\\n
4DacaBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s17.300.00017.598.00015.669.00014.543.1242011\\n
5CalcutaIndia\"Flag India15.900.00014.865.00014.667.00014.057.9912011\\n
6BangaloreIndia\"Flag India10.300.00010.087.0009.807.0008.520.4352011\\n
7LahorePakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n9.950.0008.741.00010.052.0005.143.4951998\\n
8Madr\\xc3\\xa1sIndia\"Flag India9.900.0009.890.0009.714.0008.653.5212011\\n
9HyderabadIndia\"Flag India8.900.0008.942.0008.754.0007.677.0182011\\n
10AhmedabadIndia\"Flag India7.350.0007.343.0007.186.0006.357.6932011\\n
11PuneIndia\"Flag India6.000.0005.728.0005.631.0005.057.7092011\\n
12SuratIndia\"Flag India5.600.0005.650.0005.447.0004.591.2462011\\n
13ColomboSri Lanka\"Bandera Sri Lanka4.650.000707.0002.180.000561.314[n 1]​2012\\n
14ChittagongBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s4.475.0004.539.0003.176.0004.009.4232011\\n
15FaisalabadPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n3.900.0003.567.0003.560.0002.008.8611998\\n
16Rawalpindi (incluyendo Islamabad)Pakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n3.800.0003.871.000[n 2]​2.510.0001.938.948[n 4]​1998\\n
17JaipurIndia\"Flag India3.475.0003.461.0003.409.0003.046.1632011\\n
18LucknowIndia\"Flag India3.300.0003.222.0003.184.0002.902.9202011\\n
19KanpurIndia\"Flag India3.275.0003.021.0003.037.0002011\\n
20NagpurIndia\"Flag India3.000.0002.675.0002.668.0002.497.8702011\\n
21Katmand\\xc3\\xbaNepal\"Bandera Nepal2.875.0001.183.0001.180.0001.003.2852011\\n
22IndoreIndia\"Flag India2.725.0002.441.0002.405.0002.170.2952011\\n
23Bhilai (incluyendo Raipur)India\"Flag India2.500.0002.503.000[n 2]​2.564.000[n 3]​2.187.780[n 4]​2011\\n
24PatnaIndia\"Flag India2.450.0002.210.0002.200.0002.049.1562011\\n
25CoimbatoreIndia\"Flag India2.425.0002.549.0002.481.0002.136.9162011\\n
26GujranwalaPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n2.400.0002.122.0002.120.0001.132.5091998\\n
27 HyderabadPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n2.400.0001.772.0002.920.0001.166.8941998\\n
28BhopalIndia\"Flag India2.150.0002.102.0002.075.0001.886.1002011\\n
29MultanPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n2.125.0001.921.0001.900.0001.197.3841998\\n
30VadodaraIndia\"Flag India2.025.0001.975.0001.963.0001.822.2212011\\n
31AgraIndia\"Flag India2.025.0001.966.0001.938.0001.760.2852011\\n
32ChandigarhIndia\"Flag India2.000.0001.134.0001.124.0001.026.4592011\\n
33VisakhapatnamIndia\"Flag India1.950.0001.935.0001.910.0001.728.1282011\\n
34PeshawarPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n1.870.0001.736.0001.730.000982.8161998\\n
35Ludhi\\xc4\\x81naIndia\"Flag India1.830.0001.716.0001.714.0001.618.8792011\\n
36NashikIndia\"Flag India1.810.0001.779.0001.749.0001.561.8092011\\n
37Benar\\xc3\\xa9sIndia\"Flag India1.770.0001.541.0001.536.0001.432.2802011\\n
38VijayawadaIndia\"Flag India1.740.0001.760.0001.715.0001.476.9312011\\n
39BhubaneswarIndia\"Flag India1.720.000999.000984.000885.3632011\\n
40RajkotIndia\"Flag India1.620.0001.599.0001.568.0001.390.6402011\\n
41MaduraiIndia\"Flag India1.620.0001.593.0001.582.0001.465.6252011\\n
42MeerutIndia\"Flag India1.580.0001.550.0001.541.0001.420.9022011\\n
43AurangabadIndia\"Flag India1.570.0001.344.0001.324.0001.193.1672011\\n
44Coch\\xc3\\xadnIndia\"Flag India1.530.0002.416.0002.374.0002.119.7422011\\n
45JamshedpurIndia\"Flag India1.530.0001.451.0001.443.0001.339.4382011\\n
46KolhapurIndia\"Flag India1.520.000591.000593.000561.8372011\\n
47AsansolIndia\"Flag India1.490.0001.313.0001.315.0001.243.4142011\\n
48SrinagarIndia\"Flag India1.430.0001.429.0001.409.0001.264.2022011\\n
49JabalpurIndia\"Flag India1.380.0001.367.0001.339.0001.268.8482011\\n
50AllahabadIndia\"Flag India1.360.0001.295.0001.294.0001.212.3952011\\n
51JodhpurIndia\"Flag India1.300.0001.284.0001.266.0001.138.3002011\\n
52AmritsarIndia\"Flag India1.300.0001.265.0001.264.0001.183.5492011\\n
53DhanbadIndia\"Flag India1.290.0001.255.0001.258.0001.196.2142011\\n
54RanchiIndia\"Flag India1.270.0001.262.0001.246.0001.120.3742011\\n
55TirupurIndia\"Flag India1.260.0001.230.0001.177.000963.1732011\\n
56GwaliorIndia\"Flag India1.260.0001.221.0001.208.0001.117.7402011\\n
57KotahIndia\"Flag India1.180.0001.163.0001.138.0001.001.9642011\\n
58QuettaPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n1.160.0001.109.0001.100.000565.1371998\\n
59BareillyIndia\"Flag India1.150.0001.111.0001.094.000985.7522011\\n
60ThiruvananthapuramIndia\"Flag India1.120.0001.965.0001.921.0001.679.7542011\\n
61TiruchirappalliIndia\"Flag India1.120.0001.106.0001.101.0001.022.5182011\\n
62MysoreIndia\"Flag India1.110.0001.082.0001.078.000990.9002011\\n
63AligarhIndia\"Flag India1.080.0001.037.0001.020.000911.2232011\\n
64MoradabadIndia\"Flag India1.080.0001.023.0001.004.000887.8712011\\n
65KhulnaBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s1.070.0001.022.0001.000.0001.046.3412011\\n
66GuwahatiIndia\"Flag India1.050.0001.042.0001.039.000962.3342011\\n
67Hubli - DharwadIndia\"Flag India1.040.0001.020.000613.000943.7882011\\n
68SolapurIndia\"Flag India1.030.000986.000991.000951.5582011\\n
69SalemIndia\"Flag India1.020.0001.003.000996.000917.4142011\\n
70JalandharIndia\"Flag India1.020.000954.000948.000874.4122011\\n
71KozhikodeIndia\"Flag India---2.476.0002.394.0002.028.3992011\\n
72ThrissurIndia\"Flag India---2.329.0002.236.0001.861.2692011\\n
73MalappuramIndia\"Flag India---2.216.0002.108.0001.699.0602011\\n
74CananorIndia\"Flag India---2.153.0002.047.0001.640.9862011\\n
75KollamIndia\"Flag India---1.410.0001.351.0001.110.6682011\\n
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Las mayores aglomeraciones urbanas de Asia Oriental[editar]

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\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Asia Oriental seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Cant\\xc3\\xb3n (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)China\"Bandera China46.900.00042.941.000[n 2]​45.553.000[n 3]​39.264.086 [n 4]​2010\\n
2TokioJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n39.500.00038.001.00037.843.0008.945.695[n 1]​2010\\n
3Shangh\\xc3\\xa1i (incluyendo Suzhou y Kunshan)China\"Bandera China30.400.00029.213.000[n 2]​30.477.000[n 3]​25.420.288 [n 4]​2010\\n
4Se\\xc3\\xbal (incluyendo Incheon y Suwon)Corea del Sur\"Bandera Corea del Sur24.300.00013.558.000[n 2]​23.480.00023.836.2722010\\n
5Pek\\xc3\\xadnChina\"Bandera China20.700.00020.384.00021.009.00016.446.8572010\\n
6OsakaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n17.800.00020.238.00017.444.0002.665.314[n 1]​2010\\n
7TianjinChina\"Bandera China11.200.00011.210.00010.920.0009.290.2632010\\n
8NagoyaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n10.400.0009.406.00010.177.0002.263.894[n 1]​2010\\n
9Xiamen (incluyendo Quanzhou)China\"Bandera China9.850.0005.825.000[n 2]​11.130.000[n 3]​4.273.841 [n 4]​2010\\n
10ChengduChina\"Bandera China9.400.0007.556.00010.376.0006.316.9222010\\n
11Taip\\xc3\\xa9iTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n9.000.0002.666.0007.438.000\\n
12Hangzhou (incluyendo Shaoxing)China\"Bandera China8.150.0008.467.000[n 2]​9.625.000[n 3]​6.887.8192010\\n
13WuhanChina\"Bandera China7.950.0007.906.0007.509.0007.541.5272010\\n
14Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)China\"Bandera China7.850.0006.287.000[n 2]​6.337.000[n 3]​5.775.239 [n 4]​2010\\n
15Shenyang (incluyendo Fushun)China\"Bandera China7.600.0007.613.000[n 2]​7.402.000[n 3]​7.037.0402010\\n
16Hong KongHong Kong\"Bandera Hong Kong7.200.0007.314.0007.246.0007.071.5762011\\n
17ChongqingChina\"Bandera China6.950.00013.332.0007.217.0006.263.7902010\\n
18Nank\\xc3\\xadnChina\"Bandera China6.750.0007.369.0006.155.0005.827.8882010\\n
19Xi\\'anChina\"Bandera China6.550.0006.044.0005.977.0005.206.2532010\\n
20Wenzhou (incluyendo Rui\\'an)China\"Bandera China5.800.0003.208.0004.303.000[n 3]​3.614.208 [n 4]​2010\\n
21QingdaoChina\"Bandera China5.650.0004.566.0005.816.0003.990.9422010\\n
22HarbinChina\"Bandera China5.100.0005.457.0004.815.0004.596.3132010\\n
23Kitakyushu - FukuokaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n4.725.000[n 6]​5.510.0004.505.000[n 3]​2.440.589 [n 4]​2010\\n
24ZhengzhouChina\"Bandera China4.600.0004.387.0004.942.0003.677.0322010\\n
25HefeiChina\"Bandera China4.475.0003.348.0003.665.0003.098.7272010\\n
26DalianChina\"Bandera China4.425.0004.489.0004.183.0003.902.4672010\\n
27ChangshaChina\"Bandera China4.375.0003.761.0003.657.0003.193.3542010\\n
28Bus\\xc3\\xa1nCorea del Sur\"Bandera Corea del Sur4.250.0003.216.0003.906.0003.414.9502010\\n
29TaiyuanChina\"Bandera China4.150.0003.482.0003.702.0003.154.1572010\\n
30KunmingChina\"Bandera China3.925.0003.780.0003.649.0003.278.7772010\\n
31JinanChina\"Bandera China3.900.0004.032.0003.789.0003.527.5662010\\n
32FuzhouChina\"Bandera China3.875.0003.283.0003.962.0002.824.4142010\\n
33ShijiazhuangChina\"Bandera China3.775.0003.264.0003.367.0002.770.3442010\\n
34ChangchunChina\"Bandera China3.675.0003.762.0003.368.0003.411.2092010\\n
35NanchangChina\"Bandera China3.600.0002.527.0002.637.0002.223.6612010\\n
36\\xc3\\x9cr\\xc3\\xbcmqiChina\"Bandera China3.550.0003.499.0003.184.0002.853.3982010\\n
37NingboChina\"Bandera China3.300.0003.132.0003.753.0002.580.0732010\\n
38ZiboChina\"Bandera China3.300.0002.430.0001.646.0002.261.7172010\\n
39WuxiChina\"Bandera China3.225.0003.049.0003.597.0002.757.7362010\\n
40NanningChina\"Bandera China3.150.0003.234.0002.590.0002.660.8332010\\n
41GuiyangChina\"Bandera China2.850.0002.871.0002.955.0002.520.0612010\\n
42LanzhouChina\"Bandera China2.825.0002.723.0002.703.0002.438.5952010\\n
43PionyangCorea del Norte\"Bandera Corea del Norte2.800.0002.863.0002.850.0002.581.0762008\\n
44KaohsiungTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n2.775.0001.523.0002.599.000\\n
45HuizhouChina\"Bandera China2.750.0002.312.0001.763.0001.807.8582010\\n
46DaeguCorea del Sur\"Bandera Corea del Sur2.750.0002.244.0002.382.0002.446.4182010\\n
47ChangzhouChina\"Bandera China2.625.0002.584.0003.425.0002.257.3762010\\n
48JiangyinChina\"Bandera China2.625.000686.0003.056.0001.013.6702010\\n
49XuzhouChina\"Bandera China2.525.0001.918.0001.301.0002.214.7952010\\n
50AnshanChina\"Bandera China2.500.0001.559.0001.516.0001.504.9962010\\n
51SapporoJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n2.475.0002.571.0002.570.0001.913.545[n 1]​2010\\n
52Shizuoka - HamamatsuJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n2.470.000[n 6]​3.369.0002.018.000[n 3]​1.517.063 [n 4]​2010\\n
53TangshanChina\"Bandera China2.425.0002.743.0002.378.0002.128.1912010\\n
54TaichungTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n2.350.0001.225.0002.935.000\\n
55OkayamaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n2.200.000502.000707.000709.584[n 1]​2010\\n
56BaotouChina\"Bandera China2.125.0001.957.0002.159.0001.900.3732010\\n
57YantaiChina\"Bandera China2.075.0002.114.0001.520.0001.797.8712010\\n
58Taizhou (incluyendo Wenling)China\"Bandera China2.050.0001.648.0002.835.000[n 3]​1.938.289 [n 4]​2010\\n
59CixiChina\"Bandera China2.050.0001.303.0001.490.0001.059.9422010\\n
60LuoyangChina\"Bandera China1.940.0002.015.0001.939.0001.584.4632010\\n
61NantongChina\"Bandera China1.910.0001.978.0001.184.0001.612.3852010\\n
62LiuzhouChina\"Bandera China1.890.0001.619.0001.574.0001.410.7122010\\n
63HiroshimaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.870.0002.173.0001.377.0001.173.843 [n 1]​2010\\n
64Huai\\'anChina\"Bandera China1.840.0002.000.0002.282.0001.523.6552010\\n
65HaikouChina\"Bandera China1.770.0001.903.0001.981.0001.517.4102010\\n
66YangzhouChina\"Bandera China1.760.0001.765.0001.561.0001.077.5312010\\n
67HohhotChina\"Bandera China1.750.0001.785.0002.219.0001.497.1102010\\n
68HuainanChina\"Bandera China1.740.0001.327.0001.142.0001.238.4882010\\n
69LinyiChina\"Bandera China1.700.0001.706.0002.465.0001.522.4882010\\n
70HengyangChina\"Bandera China1.680.0001.301.000987.0001.115.6452010\\n
71DaejeonCorea del Sur\"Bandera Corea del Sur1.600.0001.564.0001.564.0001.501.8592010\\n
72Weifang (incluyendo Zhucheng)China\"Bandera China1.590.0002.195.0002.636.000[n 3]​1.848.234 [n 4]​2010\\n
73BaodingChina\"Bandera China1.590.0001.106.0001.297.0001.038.1952010\\n
74GwangjuCorea del Sur\"Bandera Corea del Sur1.580.0001.536.0001.601.0001.475.7452010\\n
75DaqingChina\"Bandera China1.550.0001.621.000983.0001.433.6982010\\n
76XiangyangChina\"Bandera China1.550.0001.533.0001.183.0001.433.0572010\\n
77YiwuChina\"Bandera China1.550.0001.080.0001.704.000878.9732010\\n
78ZhuhaiChina\"Bandera China1.540.0001.542.0001.547.0001.369.5382010\\n
79DatongChina\"Bandera China1.510.0001.532.0001.709.0001.362.3142010\\n
80YinchuanChina\"Bandera China1.500.0001.596.0001.614.0001.159.4572010\\n
81JilinChina\"Bandera China1.500.0001.520.0001.633.0001.469.7222010\\n
82SendaiJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.480.0002.091.0001.277.0001.045.986 [n 1]​2010\\n
83JiaozuoChina\"Bandera China1.350.000732.000809.000702.5272010\\n
84HandanChina\"Bandera China1.340.0001.634.0002.000.000919.2952010\\n
85PutianChina\"Bandera China1.340.0001.438.0001.468.0001.107.1992010\\n
86XiangtanChina\"Bandera China1.320.0001.010.0001.007.000903.2872010\\n
87XiningChina\"Bandera China1.310.0001.323.0001.345.0001.153.4172010\\n
88HuaibeiChina\"Bandera China1.300.000981.0001.116.000854.6962010\\n
89TainanTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n1.300.000815.0001.216.000\\n
90XinxiangChina\"Bandera China1.290.000991.0001.074.000918.0782010\\n
91WuhuChina\"Bandera China1.280.0001.424.0001.456.0001.108.0872010\\n
92Ul\\xc3\\xa1n Bator\"Bandera Mongolia1.280.0001.377.0001.237.0001.144.9542010\\n
93XingtaiChina\"Bandera China1.280.000742.000749.000668.7652010\\n
94YanchengChina\"Bandera China1.240.0001.436.000935.0001.136.8262010\\n
95TaianChina\"Bandera China1.220.0001.220.000817.0001.123.5412010\\n
96GuilinChina\"Bandera China1.190.0001.040.000949.000963.6292010\\n
97ZhangjiakouChina\"Bandera China1.180.000983.0001.156.000924.6282010\\n
98NahaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.180.000321.0001.007.000315.954 [n 1]​2010\\n
99MianyangChina\"Bandera China1.160.0001.065.000585.000967.0062010\\n
100ZhanjiangChina\"Bandera China1.150.0001.149.0001.042.0001.038.7622010\\n
101BengbuChina\"Bandera China1.150.000842.000961.000793.8662010\\n
102KumamotoJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.150.000601.000697.000734.474 [n 1]​2010\\n
103YichangChina\"Bandera China1.140.0001.264.0001.039.0001.049.3632010\\n
104QingyuanChina\"Bandera China1.130.000694.000588.000916.4532010\\n
105UlsanCorea del Sur\"Bandera Corea del Sur1.120.000904.000900.0001.082.5672010\\n
106ZunyiChina\"Bandera China1.120.000803.000108.000715.1482010\\n
107MaanshanChina\"Bandera China1.110.000858.000827.000657.8472010\\n
108QinhuangdaoChina\"Bandera China1.100.0001.109.0001.041.000967.8772010\\n
109ChangshuChina\"Bandera China1.100.000726.0001.344.000929.1242010\\n
110ChangwonCorea del Sur\"Bandera Corea del Sur1.090.0001.039.000990.0001.058.0212010\\n
111CangnanChina\"Bandera China1.090.000---823.000648.2192010\\n
112ZhuzhouChina\"Bandera China1.080.0001.083.0001.007.000999.4042010\\n
113MaomingChina\"Bandera China1.080.000609.000619.0001.033.1962010\\n
114BenxiChina\"Bandera China1.070.0001.070.000888.0001.000.1282010\\n
115QiqiharChina\"Bandera China1.060.0001.452.0001.241.0001.314.7202010\\n
116LianyungangChina\"Bandera China1.060.0001.099.0001.128.000897.3932010\\n
117ZhenjiangChina\"Bandera China1.050.0001.050.000969.000950.5162010\\n
118KaifengChina\"Bandera China1.040.000804.000633.000725.5732010\\n
119RizhaoChina\"Bandera China1.040.0001.062.000937.000902.2722010\\n
120NanchongChina\"Bandera China1.030.0001.050.000692.000890.4022010\\n
121JinzhouChina\"Bandera China1.030.0001.035.000922.000946.0982010\\n
122ChifengChina\"Bandera China1.020.0001.018.0001.230.000902.2852010\\n
123FujiJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.010.000---718.000254.027 [n 1]​2010\\n
124NanyangChina\"Bandera China1.000.0001.011.000731.000899.8992010\\n
125WanzhouChina\"Bandera China1.000.000---582.000849.6622010\\n
126JiningChina\"Bandera China---1.385.000623.000939.0342010\\n
127TaizhouChina\"Bandera China---1.184.000562.000676.8772010\\n
128AnyangChina\"Bandera China---1.140.0001.401.000908.1292010\\n
129SuqianChina\"Bandera China---1.050.000539.000783.3762010\\n
130YonginCorea del Sur\"Bandera Corea del Sur---1.048.000---856.7652010\\n
131Zaozhuang (incluyendo Tengzhou)China\"Bandera China---1.028.0001.481.000[n 3]​1.764.366 [n 4]​2010\\n
132YingkouChina\"Bandera China---1.026.000708.000880.4122010\\n
133BaojiChina\"Bandera China---1.001.000933.000871.9402010\\n
134ZhangzhouChina\"Bandera China------1.410.000614.7002010\\n
135WeihaiChina\"Bandera China------1.208.000698.8632010\\n
136DongyingChina\"Bandera China------1.206.000848.9582010\\n
137JiaxingChina\"Bandera China------1.192.000762.6432010\\n
138JiamusiChina\"Bandera China------1.089.000631.3572010\\n
139FuzhouChina\"Bandera China------1.052.000482.9402010\\n
140HuzhouChina\"Bandera China------1.021.000748.4712010\\n
\\n

Las mayores aglomeraciones urbanas del Sureste Asi\\xc3\\xa1tico[editar]

\\n\\n\\n\\n\\n\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en el Sureste Asi\\xc3\\xa1tico seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
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\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Yakarta (incluyendo Bogor)Indonesia\"Bandera Indonesia27.700.00011.399.000 [n 2]​30.539.00010.558.121 [n 4]​2010\\n
2ManilaFilipinas\"Bandera Filipinas23.100.00012.946.00024.123.0001.652.171 [n 1]​2010\\n
3Bangkok (incluyendo Samut Prakan)Tailandia\"Flag Tailandia16.700.00011.084.00014.998.0008.986.218 [n 4]​2010\\n
4Ciudad Ho Chi MinhVietnam\"Bandera Vietnam8.150.0007.298.0008.957.0005.880.6152009\\n
5Kuala LumpurMalasia\"Bandera Malasia6.950.0006.837.0007.088.0001.305.792 [n 1]​2000\\n
6Singapur - Johor BahruSingapur\"Bandera Singapur
Malasia\"Bandera Malasia\\n		6.900.0006.531.000 [n 2]​7.312.000 [n 3]​5.719.644 [n 4]​2010 2000\\n
7BandungIndonesia\"Bandera Indonesia5.900.0002.544.0005.695.0002.394.873 [n 1]​2010\\n
8Rang\\xc3\\xban\"Bandera Birmania5.100.0004.802.0004.800.0004.728.5242014\\n
9SurabayaIndonesia\"Bandera Indonesia4.675.0002.853.0004.881.0002.765.487 [n 1]​2010\\n
10MedanIndonesia\"Bandera Indonesia3.400.0002.204.0003.942.0002.097.610 [n 1]​2010\\n
11Han\\xc3\\xb3iVietnam\"Bandera Vietnam2.925.0003.629.0003.715.0002.316.7722009\\n
12Ceb\\xc3\\xbaFilipinas\"Bandera Filipinas2.250.000951.0002.535.000866.171 [n 1]​2010\\n
13SemarangIndonesia\"Bandera Indonesia2.025.0001.630.0001.630.0001.520.4812010\\n
14Nom PenCamboya\"Bandera Camboya1.830.0001.731.0001.729.0001.416.5822008\\n
15MakasarIndonesia\"Bandera Indonesia1.760.0001.489.0001.484.0001.331.3912010\\n
16PalembangIndonesia\"Bandera Indonesia1.680.0001.455.0001.434.0001.440.6782010\\n
17George TownMalasia\"Bandera Malasia1.530.000---1.336.000181.380 [n 1]​2000\\n
18DenpasarIndonesia\"Bandera Indonesia1.470.0001.107.0001.175.000788.589 [n 1]​2010\\n
19MalangIndonesia\"Bandera Indonesia1.410.000856.0001.114.000820.2432010\\n
20Mandalay\"Bandera Birmania1.390.0001.167.0001.160.0001.225.5462014\\n
21DavaoFilipinas\"Bandera Filipinas1.330.0001.630.0001.630.0001.176.586 [n 1]​2010\\n
22YogyakartaIndonesia\"Bandera Indonesia1.270.000385.0001.831.000388.627 [n 1]​2010\\n
23ChonburiTailandia\"Flag Tailandia1.230.000518.000665.000321.149 [n 1]​2010\\n
24SurakartaIndonesia\"Bandera Indonesia1.210.000504.0001.318.000499.337 [n 1]​2010\\n
25BatamIndonesia\"Bandera Indonesia1.160.0001.391.0001.142.000917.9982010\\n
26PekanbaruIndonesia\"Bandera Indonesia1.160.0001.121.0001.100.000882.0452010\\n
27SerangIndonesia\"Bandera Indonesia1.090.000---564.000428.484 [n 1]​2010\\n
28Bandar LampungIndonesia\"Bandera Indonesia1.080.000965.000909.000873.0072010\\n
29\\xc3\\x81ngelesFilipinas\"Bandera Filipinas1.060.000363.000883.000326.336 [n 1]​2010\\n
30Can ThoVietnam\"Bandera Vietnam---1.175.000769.000731.5452009\\n
31Hai PhongVietnam\"Bandera Vietnam---1.075.000983.000769.7362009\\n
32Naipyid\\xc3\\xb3\"Bandera Birmania---1.030.0001.030.000333.5062014\\n
33General SantosFilipinas\"Bandera Filipinas------1.579.000444.116 [n 1]​2010\\n
34CirebonIndonesia\"Bandera Indonesia------1.143.000296.389 [n 1]​2010\\n
35Vienti\\xc3\\xa1nLaos\"Bandera Laos---997.000975.000569.7292005\\n
\\n

Las mayores aglomeraciones urbanas de Europa[editar]

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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
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Las 50 mayores aglomeraciones urbanas del continente Europeo.\\n
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\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Mosc\\xc3\\xbaRusia\"Flag Rusia16 800 000???12 166 000???16 170 000???11 612 885???2010\\n
2LondresReino Unido\"Bandera Reino Unido14 300 000???10 313 000???10 236 000???11 140 445???2011\\n
3EstambulTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada14 200 00014 164 00013.287 0008 803 4682000\\n
4Par\\xc3\\xadsFrancia\"Flag Francia11 200 00010.843.00010.858.0009.738 8091999\\n
5MadridEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a6 400 0006 199 0006 171 0003 198 6452011\\n
6Regi\\xc3\\xb3n del RuhrAlemania\"Flag Alemania5 600 000------\\n
7San PetersburgoRusia\"Flag Rusia5 400 0004 993 0005 126 0004 879 5662010\\n
8Mil\\xc3\\xa1nItalia\"Flag Italia5.150.0003.099.0005.257.0001.242.1232011\\n
9Colonia - D\\xc3\\xbcsseldorfAlemania\"Flag Alemania4.825.0001.640.0008.783.0001.591.8662011\\n
10BarcelonaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a4.700.0005.258.0004.693.0001.611.0132011\\n
11Berl\\xc3\\xadnAlemania\"Flag Alemania4.450.0003.563.0004.069.0003.292.3652011\\n
12N\\xc3\\xa1polesItalia\"Flag Italia4.225.0002.202.0003.706.000962.0032011\\n
13AtenasGrecia\"Flag Grecia3.600.0003.052.0003.484.0003.168.8462011\\n
14RomaItalia\"Flag Italia3.550.0003.718.0003.906.0002.617.1752011\\n
15KievUcrania\"Flag Ucrania3.375.0002.942.0002.241.0002.611.3272001\\n
16BirminghamReino Unido\"Bandera Reino Unido3.100.0002.515.0002.512.0002.697.1682011\\n
17R\\xc3\\xb3terdamPa\\xc3\\xadses Bajos\"Flag Pa\\xc3\\xadses Bajos3.100.000993.0002.660.000608.4222001\\n
18Fr\\xc3\\xa1ncfort del MenoAlemania\"Flag Alemania3.100.000715.0001.915.000667.9252011\\n
19M\\xc3\\xa1nchesterReino Unido\"Bandera Reino Unido3.000.0002.646.0002.639.0002.637.3352011\\n
20HamburgoAlemania\"Flag Alemania2.750.0001.831.0002.087.0001.706.6962011\\n
21LisboaPortugal\"Flag Portugal2.600.0002.884.0002.666.000564.6572001\\n
22BudapestHungr\\xc3\\xada\"Flag Hungr\\xc3\\xada2.550.0001.714.0001.710.0001.729.0402011\\n
23KatowicePolonia\"Flag Polonia2.400.000303.0002.190.000310.7642011\\n
24\\xc3\\x81msterdamPa\\xc3\\xadses Bajos\"Flag Pa\\xc3\\xadses Bajos2.375.0001.091.0001.624.000734.5332001\\n
25StuttgartAlemania\"Flag Alemania2.300.000626.0001.379.000585.8902011\\n
26VarsoviaPolonia\"Flag Polonia2.275.0001.722.0001.720.0001.700.6122011\\n
27BucarestRumania\"Flag Rumania2.175.0001.868.0001.860.0001.883.4252011\\n
28M\\xc3\\xbanichAlemania\"Flag Alemania2.175.0001.438.0001.981.0001.348.3352011\\n
29VienaAustria\"Flag Austria2.125.0001.753.0001.763.0002.015.5802011\\n
30LeedsReino Unido\"Bandera Reino Unido2.125.0001.912.0001.893.0002.058.8612011\\n
31EstocolmoSuecia\"Flag Suecia2.075.0001.486.0001.484.000\\n
32BruselasB\\xc3\\xa9lgica\"Flag B\\xc3\\xa9lgica2.000.0002.045.0002.089.000\\n
33MinskBielorrusia\"Bandera Bielorrusia1.950.0001.915.0001.910.0001.836.8082009\\n
34LyonFrancia\"Flag Francia1.920.0001.609.0001.583.0001.428.9981999\\n
35LiverpoolReino Unido\"Bandera Reino Unido1.830.000870.000875.0001.367.1472011\\n
36ValenciaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a1.780.000810.0001.561.000792.0542011\\n
37Nizni N\\xc3\\xb3vgorodRusia\"Flag Rusia1.750.0001.212.0001.201.0001.250.6192010\\n
38Tur\\xc3\\xadnItalia\"Flag Italia1.670.0001.765.0001.521.000872.3672011\\n
39J\\xc3\\xa1rkovUcrania\"Flag Ucrania1.650.0001.441.0001.440.0001.470.9022001\\n
40MarsellaFrancia\"Flag Francia1.640.0001.605.0001.397.0001.463.0161999\\n
41GlasgowReino Unido\"Bandera Reino Unido1.610.0001.223.0001.220.0001.601.1542011\\n
42CopenhagueDinamarca\"Bandera Dinamarca1.600.0001.268.0001.248.000\\n
43SheffieldReino Unido\"Bandera Reino Unido1.530.000706.000706.000795.8442011\\n
44MannheimAlemania\"Flag Alemania1.520.000319.000559.000290.1172011\\n
45DonetskUcrania\"Flag Ucrania1.480.000934.000930.0001.016.1942001\\n
46Newcastle upon TyneReino Unido\"Bandera Reino Unido1.460.000791.000793.0001.220.7812011\\n
47PragaRep\\xc3\\xbablica Checa\"Flag Rep\\xc3\\xbablica Checa1.460.0001.314.0001.310.0001.169.1062001\\n
48VolgogradoRusia\"Flag Rusia1.410.0001.022.000999.0001.021.2152010\\n
49BelgradoSerbia\"Bandera Serbia1.400.0001.182.0001.180.0001.166.7632011\\n
50DnipropetrovskUcrania\"Flag Ucrania1.390.000957.000950.0001.065.0082001\\n
\\n

Las mayores aglomeraciones urbanas de Europa Occidental[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Europa Occidental seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1LondresReino Unido\"Bandera Reino Unido14.300.00010.313.00010.236.00011.140.4452011\\n
2Par\\xc3\\xadsFrancia\"Flag Francia11.200.00010.843.00010.858.0009.738.8091999\\n
3MadridEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a6.400.0006.199.0006.171.0003.198.645 [n 1]​2011\\n
4Regi\\xc3\\xb3n del Ruhr [n 7]​Alemania\"Flag Alemania5.600.000------\\n
5Mil\\xc3\\xa1nItalia\"Flag Italia5.150.0003.099.0005.257.0001.242.123 [n 1]​2011\\n
6Colonia - D\\xc3\\xbcsseldorfAlemania\"Flag Alemania4.825.0001.640.000 [n 2]​8.783.000 [n 3]​1.591.866 [n 4]​2011\\n
7BarcelonaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a4.700.0005.258.0004.693.0001.611.013 [n 1]​2011\\n
8Berl\\xc3\\xadnAlemania\"Flag Alemania4.450.0003.563.0004.069.0003.292.365 [n 1]​2011\\n
9N\\xc3\\xa1polesItalia\"Flag Italia4.225.0002.202.0003.706.000962.003 [n 1]​2011\\n
10AtenasGrecia\"Flag Grecia3.600.0003.052.0003.484.0003.168.8462011\\n
11RomaItalia\"Flag Italia3.550.0003.718.0003.906.0002.617.175 [n 1]​2011\\n
12BirminghamReino Unido\"Bandera Reino Unido3.100.0002.515.0002.512.0002.697.1682011\\n
13R\\xc3\\xb3terdamPa\\xc3\\xadses Bajos\"Flag Pa\\xc3\\xadses Bajos3.100.000993.0002.660.000608.422 [n 1]​2001\\n
14Fr\\xc3\\xa1ncfort del MenoAlemania\"Flag Alemania3.100.000715.0001.915.000667.925 [n 1]​2011\\n
15M\\xc3\\xa1nchesterReino Unido\"Bandera Reino Unido3.000.0002.646.0002.639.0002.637.3352011\\n
16HamburgoAlemania\"Flag Alemania2.750.0001.831.0002.087.0001.706.696 [n 1]​2011\\n
17LisboaPortugal\"Flag Portugal2.600.0002.884.0002.666.000564.657 [n 1]​2001\\n
18\\xc3\\x81msterdamPa\\xc3\\xadses Bajos\"Flag Pa\\xc3\\xadses Bajos2.375.0001.091.0001.624.000734.533 [n 1]​2001\\n
19StuttgartAlemania\"Flag Alemania2.300.000626.0001.379.000585.890 [n 1]​2011\\n
20M\\xc3\\xbanichAlemania\"Flag Alemania2.175.0001.438.0001.981.0001.348.335 [n 1]​2011\\n
21VienaAustria\"Flag Austria2.125.0001.753.0001.763.0002.015.5802011\\n
22LeedsReino Unido\"Bandera Reino Unido2.125.0001.912.0001.893.0002.058.8612011\\n
23EstocolmoSuecia\"Flag Suecia2.075.0001.486.0001.484.000\\n
24BruselasB\\xc3\\xa9lgica\"Flag B\\xc3\\xa9lgica2.000.0002.045.0002.089.000\\n
25LyonFrancia\"Flag Francia1.920.0001.609.0001.583.0001.428.9981999\\n
26LiverpoolReino Unido\"Bandera Reino Unido1.830.000870.000875.0001.367.1472011\\n
27ValenciaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a1.780.000810.0001.561.000792.054 [n 1]​2011\\n
28Tur\\xc3\\xadnItalia\"Flag Italia1.670.0001.765.0001.521.000872.367 [n 1]​2011\\n
29MarsellaFrancia\"Flag Francia1.640.0001.605.0001.397.0001.463.0161999\\n
30GlasgowReino Unido\"Bandera Reino Unido1.610.0001.223.0001.220.0001.601.1542011\\n
31CopenhagueDinamarca\"Bandera Dinamarca1.600.0001.268.0001.248.000\\n
32SheffieldReino Unido\"Bandera Reino Unido1.530.000706.000706.000795.8442011\\n
33MannheimAlemania\"Flag Alemania1.520.000319.000559.000290.117 [n 1]​2011\\n
34Newcastle upon TyneReino Unido\"Bandera Reino Unido1.460.000791.000793.0001.220.7812011\\n
35Z\\xc3\\xbarichSuiza\"Flag Suiza1.350.0001.246.000785.0001.249.7502010\\n
36NottinghamReino Unido\"Bandera Reino Unido1.350.000755.000755.000754.7892011\\n
37SevillaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a1.340.000701.0001.107.000698.0422011\\n
38Dubl\\xc3\\xadnIrlanda\"Flag Irlanda1.320.0001.169.0001.160.0001.110.6272011\\n
39LilleFrancia\"Flag Francia1.270.0001.027.0001.018.000999.7971999\\n
40HelsinkiFinlandia\"Flag Finlandia1.220.0001.180.0001.208.0001.027.3052000\\n
41OportoPortugal\"Flag Portugal1.190.0001.299.0001.474.000263.131 [n 1]​2001\\n
42N\\xc3\\xbarembergAlemania\"Flag Alemania1.160.000517.000670.000486.314 [n 1]​2011\\n
43OsloNoruega\"Flag Noruega1.130.000986.000975.000685.5301990\\n
44SouthamptonReino Unido\"Bandera Reino Unido1.130.000882.000883.0001.060.3262011\\n
45HannoverAlemania\"Flag Alemania1.120.000533.000711.000506.416 [n 1]​2011\\n
46AmberesB\\xc3\\xa9lgica\"Flag B\\xc3\\xa9lgica1.020.000994.0001.008.000\\n
47M\\xc3\\xa1lagaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a1.010.000574.000716.000561.4352011\\n
48Niza - CannesFrancia\"Flag Francia---967.000978.000889.1631999\\n
49ToulouseFrancia\"Flag Francia---938.000922.000761.9631999\\n
\\n

Las mayores aglomeraciones urbanas de Europa Oriental[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Europa Oriental seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Mosc\\xc3\\xbaRusia\"Flag Rusia16.800.00012.166.00016.170.00011.612.8852010\\n
2Estambul [n 8]​Turqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada14.200.00014.164.00013.287.0008.803.4682000\\n
3San PetersburgoRusia\"Flag Rusia5.400.0004.993.0005.126.0004.879.5662010\\n
4KievUcrania\"Flag Ucrania3.375.0002.942.0002.241.0002.611.3272001\\n
5BudapestHungr\\xc3\\xada\"Flag Hungr\\xc3\\xada2.550.0001.714.0001.710.0001.729.0402011\\n
6KatowicePolonia\"Flag Polonia2.400.000303.0002.190.000310.764 [n 1]​2011\\n
7VarsoviaPolonia\"Flag Polonia2.275.0001.722.0001.720.0001.700.612 [n 1]​2011\\n
8BucarestRumania\"Flag Rumania2.175.0001.868.0001.860.0001.883.4252011\\n
9MinskBielorrusia\"Bandera Bielorrusia1.950.0001.915.0001.910.0001.836.8082009\\n
10Nizni N\\xc3\\xb3vgorodRusia\"Flag Rusia1.750.0001.212.0001.201.0001.250.6192010\\n
11J\\xc3\\xa1rkovUcrania\"Flag Ucrania1.650.0001.441.0001.440.0001.470.9022001\\n
12DonetskUcrania\"Flag Ucrania1.480.000934.000930.0001.016.1942001\\n
13PragaRep\\xc3\\xbablica Checa\"Flag Rep\\xc3\\xbablica Checa1.460.0001.314.0001.310.0001.169.1062001\\n
14VolgogradoRusia\"Flag Rusia1.410.0001.022.000999.0001.021.2152010\\n
15BelgradoSerbia\"Bandera Serbia1.400.0001.182.0001.180.0001.166.7632011\\n
16DnipropetrovskUcrania\"Flag Ucrania1.390.000957.000950.0001.065.0082001\\n
17Sof\\xc3\\xadaBulgaria\"Bandera Bulgaria1.320.0001.226.0001.195.0001.202.7612011\\n
18SamaraRusia\"Flag Rusia1.320.0001.164.0001.162.0001.164.6852010\\n
19Rostov del DonRusia\"Flag Rusia1.280.0001.097.0001.090.0001.089.2612010\\n
20Kaz\\xc3\\xa1nRusia\"Flag Rusia1.210.0001.162.0001.160.0001.143.5352010\\n
21Uf\\xc3\\xa1Rusia\"Flag Rusia1.110.0001.070.0001.024.0001.062.3192010\\n
22OdesaUcrania\"Flag Ucrania1.110.0001.010.0001.010.0001.029.0492001\\n
23PermRusia\"Flag Rusia1.100.000982.000974.000991.1622010\\n
24Sar\\xc3\\xa1tovRusia\"Flag Rusia1.090.000815.000772.000837.9002010\\n
25Vor\\xc3\\xb3nezhRusia\"Flag Rusia1.030.000911.000897.000975.3732010\\n
\\n

Las mayores aglomeraciones urbanas de Ocean\\xc3\\xada[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Ocean\\xc3\\xada seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1S\\xc3\\xaddneyAustralia\"Flag Australia4.850.0004.505.0004.036.0004.028.5252011\\n
2MelbourneAustralia\"Flag Australia4.350.0004.203.0003.906.0003.847.5672011\\n
3BrisbaneAustralia\"Flag Australia2.875.0002.202.0001.999.0001.977.3162011\\n
4PerthAustralia\"Flag Australia2.025.0001.861.0001.751.0001.670.9522011\\n
5AucklandNueva Zelanda\"Bandera Nueva Zelanda1.404.0001.344.0001.356.0001.308.8312013\\n
6AdelaidaAustralia\"Flag Australia1.290.0001.256.0001.140.0001.198.4672011\\n
7Honolulu[n 9]​Estados Unidos\"Flag Estados Unidos1.000.000848.000842.000953.2072010\\n
\\n

V\\xc3\\xa9ase tambi\\xc3\\xa9n[editar]

\\n\\n

Referencias y notas[editar]

\\n

Notas[editar]

\\n
    \\n
  1. \\xe2\\x86\\x91 a b c d e f g h i j k l m n \\xc3\\xb1 o p q r s t u v w x y z aa ab ac ad ae af ag ah ai aj ak al am an a\\xc3\\xb1 ao ap aq ar as at au av aw ax ay az ba bb bc bd be bf bg bh bi bj bk bl bm bn b\\xc3\\xb1 bo bp bq br bs bt bu bv bw bx by bz El valor corresponde a la entidad ciudad.\\n
    2. \\n
  2. \\xe2\\x86\\x91 a b c d e f g h i j k l m n \\xc3\\xb1 o p q r s t La ONU considera aglomeraciones separadas, el valor corresponde a la suma de las aglomeraciones.\\n
    3. \\n
  3. \\xe2\\x86\\x91 a b c d e f g h i j k l m n \\xc3\\xb1 o p q r s t u Demographia considera aglomeraciones separadas, el valor corresponde a la suma de las aglomeraciones.\\n
    4. \\n
  4. \\xe2\\x86\\x91 a b c d e f g h i j k l m n \\xc3\\xb1 o p q r s t u v w x y El valor corresponde a la suma censal de las ciudades.\\n
    5. \\n
  5. \\xe2\\x86\\x91 a b c d e Geogr\\xc3\\xa1ficamente pertenece a Asia. Pol\\xc3\\xadticamente pertenece a Europa.\\n
    6. \\n
  6. \\xe2\\x86\\x91 a b Citypopulation considera aglomeraciones separadas, el valor corresponde a la suma de las aglomeraciones.\\n
    7. \\n
  7. \\xe2\\x86\\x91 Conurbaci\\xc3\\xb3n alemana, incluye ciudades como Bochum, Dortmund, Essen, Duisburgo, entre otras.\\n
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  8. \\xe2\\x86\\x91 Pol\\xc3\\xadtica y geogr\\xc3\\xa1ficamente pertenece a Asia y Europa.\\n
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  9. \\xe2\\x86\\x91 Geogr\\xc3\\xa1ficamente pertenece a Ocean\\xc3\\xada, pol\\xc3\\xadticamente pertenece a Am\\xc3\\xa9rica del Norte.\\n
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Referencias[editar]

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  1. \\xe2\\x86\\x91 Citypopulation (2016). \\xc2\\xabMAJOR AGGLOMERATIONS OF THE WORLD\\xc2\\xbb (en ingl\\xc3\\xa9s). Consultado el 22 de enero de 2016. \\n
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  2. \\xe2\\x86\\x91 Demographia (2015). \\xc2\\xabDemographia World Urban Areas\\xc2\\xbb (en ingl\\xc3\\xa9s). Consultado el 23 de agosto de 2015. \\n
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  3. \\xe2\\x86\\x91 \\xc2\\xabWor samara diaz vazquez e israel lopezl 2010]\\xc2\\xbb. \\n
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Enlaces externos[editar]

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CiudadFecha y fuentePaísPoblación según Citypopulation (2015)Población según Citypopulation (2016)Población según Citypopulation[1]​Población según Demographia (2015)Población según Demographia[2]​Población según ONU (2015)Población según ONU[3]​Población según último censoPoblación según último censo oficialPosición
0Cantón2010ChinaNaNNaN45 600 000NaN42 941 000NaN45 553 000NaN39 264 0861
1Tokio2020JapónNaNNaN40 200 000NaN38 001 000NaN37 843 000NaN8 945 6952
2Shanghái2010ChinaNaNNaN35 900 000NaN29 213 000NaN30 539 000NaN10 558 1213
3Yakarta2010IndonesiaNaNNaN30 600 000NaN11 399 000NaN30 477 000NaN25 420 2884
4Delhi2011IndiaNaNNaN29 400 000NaN25 703 000NaN24 998 000NaN16 349 8315
5Manila2010FilipinasNaNNaN25 200 000NaN12 946 000NaN24 123 000NaN1 652 1716
6Seúl2010Corea del SurNaNNaN24 700 000NaN13 558 000NaN23 480 000NaN23 836 2727
7Bombay2011IndiaNaNNaN24 700 000NaN21 043 000NaN21 732 000NaN19 617 3028
8Ciudad de México2015MéxicoNaNNaN22 800 000NaN22 452 000NaN20 063 000NaN20 892 7249
9Nueva York2010Estados UnidosNaNNaN22 400 000NaN19 532 000NaN20 630 000NaN19 556 44010
10São Paulo2010BrasilNaNNaN22 200 000NaN21 066 000NaN20 365 000NaN19 683 97511
11El Cairo2006EgiptoNaNNaN20 500 000NaN13 123 000NaN13 123 000NaN7 740 01812
12Pekín2010ChinaNaNNaN20 400 000NaN13 123 000NaN13 123 000NaN16 446 85713
13Daca2011BangladésNaNNaN19 500 000NaN17 598 000NaN15 669 000NaN14 543 12414
14Lagos1991NigeriaNaNNaN18 800 000NaN18 772 000NaN15 600 000NaN5 195 24715
15Bangkok2010TailandiaNaNNaN18 300 000NaN11 084 000NaN14 998 000NaN8 986 21816
16Los Ángeles2010Estados UnidosNaNNaN17 800 000NaN14 504 000NaN15 058 000NaN17 053 90517
17Osaka2010JapónNaNNaN17 700 000NaN20 238 000NaN17 444 000NaN2 665 31418
18Karachi2011PakistánNaNNaN17 300 000NaN16 618 000NaN22 123 000NaN21 142 62519
19Moscú2010RusiaNaNNaN17 200 000NaN12 166 000NaN16 170 000NaN11 612 88520
20Calcuta2011IndiaNaNNaN16 600 000NaN14 865 000NaN14 667 000NaN14 057 99121
21Buenos Aires2017ArgentinaNaNNaN16 300 000NaN18 086 000NaN14 122 000NaN13 588 17122
22Estambul2015TurquíaNaNNaN15 800 000NaN14 164 000NaN13 287 000NaN14 657 00023
23Teherán2011IránNaNNaN15 000 000NaN10 239 000NaN13 532 000NaN9 768 67724
24Londres2011Reino UnidoNaNNaN14 700 000NaN10 313 000NaN10 236 000NaN11 140 44525
25Johannesburgo2009SudáfricaNaNNaN13 700 000NaN12 613 000NaN12 066 000NaN10 002 03926
26Tianjin2010ChinaNaNNaN13 200 000NaN11 210 000NaN10 920 000NaN9 290 26328
27Río de Janeiro2010BrasilNaNNaN13 100 000NaN12 902 000NaN11 727 000NaN11 835 70827
28Lahore1998PakistánNaNNaN12 600 000NaN8 741 000NaN10 052 000NaN5 143 49529
29Kinsasa2004República Democrática del CongoNaNNaN12 000 000NaN11 587 000NaN11 587 000NaN7 273 94730
..........................................
20Lisboa2001Portugal2.600.000NaNNaN2.666.000NaN2.884.000NaN564.657NaN21
21Budapest2011Hungría2.550.000NaNNaN1.710.000NaN1.714.000NaN1.729.040NaN22
22Katowice2011Polonia2.400.000NaNNaN2.190.000NaN303.000NaN310.764NaN23
23Ámsterdam2001Países Bajos2.375.000NaNNaN1.624.000NaN1.091.000NaN734.533NaN24
24Stuttgart2011Alemania2.300.000NaNNaN1.379.000NaN626.000NaN585.890NaN25
25Varsovia2011Polonia2.275.000NaNNaN1.720.000NaN1.722.000NaN1.700.612NaN26
26Bucarest2011Rumania2.175.000NaNNaN1.860.000NaN1.868.000NaN1.883.425NaN27
27Múnich2011Alemania2.175.000NaNNaN1.981.000NaN1.438.000NaN1.348.335NaN28
28Viena2011Austria2.125.000NaNNaN1.763.000NaN1.753.000NaN2.015.580NaN29
29Leeds2011Reino Unido2.125.000NaNNaN1.893.000NaN1.912.000NaN2.058.861NaN30
30EstocolmoNaNSuecia2.075.000NaNNaN1.484.000NaN1.486.000NaNNaNNaN31
31BruselasNaNBélgica2.000.000NaNNaN2.089.000NaN2.045.000NaNNaNNaN32
32Minsk2009Bielorrusia1.950.000NaNNaN1.910.000NaN1.915.000NaN1.836.808NaN33
33Lyon1999Francia1.920.000NaNNaN1.583.000NaN1.609.000NaN1.428.998NaN34
34Liverpool2011Reino Unido1.830.000NaNNaN875.000NaN870.000NaN1.367.147NaN35
35Valencia2011España1.780.000NaNNaN1.561.000NaN810.000NaN792.054NaN36
36Nizni Nóvgorod2010Rusia1.750.000NaNNaN1.201.000NaN1.212.000NaN1.250.619NaN37
37Turín2011Italia1.670.000NaNNaN1.521.000NaN1.765.000NaN872.367NaN38
38Járkov2001Ucrania1.650.000NaNNaN1.440.000NaN1.441.000NaN1.470.902NaN39
39Marsella1999Francia1.640.000NaNNaN1.397.000NaN1.605.000NaN1.463.016NaN40
40Glasgow2011Reino Unido1.610.000NaNNaN1.220.000NaN1.223.000NaN1.601.154NaN41
41CopenhagueNaNDinamarca1.600.000NaNNaN1.248.000NaN1.268.000NaNNaNNaN42
42Sheffield2011Reino Unido1.530.000NaNNaN706.000NaN706.000NaN795.844NaN43
43Mannheim2011Alemania1.520.000NaNNaN559.000NaN319.000NaN290.117NaN44
44Donetsk2001Ucrania1.480.000NaNNaN930.000NaN934.000NaN1.016.194NaN45
45Newcastle upon Tyne2011Reino Unido1.460.000NaNNaN793.000NaN791.000NaN1.220.781NaN46
46Praga2001República Checa1.460.000NaNNaN1.310.000NaN1.314.000NaN1.169.106NaN47
47Volgogrado2010Rusia1.410.000NaNNaN999.000NaN1.022.000NaN1.021.215NaN48
48Belgrado2011Serbia1.400.000NaNNaN1.180.000NaN1.182.000NaN1.166.763NaN49
49Dnipropetrovsk2001Ucrania1.390.000NaNNaN950.000NaN957.000NaN1.065.008NaN50
\n", + "

839 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " Ciudad Fecha y fuente País \\\n", + "0 Cantón 2010 China \n", + "1 Tokio 2020 Japón \n", + "2 Shanghái 2010 China \n", + "3 Yakarta 2010 Indonesia \n", + "4 Delhi 2011 India \n", + "5 Manila 2010 Filipinas \n", + "6 Seúl 2010 Corea del Sur \n", + "7 Bombay 2011 India \n", + "8 Ciudad de México 2015 México \n", + "9 Nueva York 2010 Estados Unidos \n", + "10 São Paulo 2010 Brasil \n", + "11 El Cairo 2006 Egipto \n", + "12 Pekín 2010 China \n", + "13 Daca 2011 Bangladés \n", + "14 Lagos 1991 Nigeria \n", + "15 Bangkok 2010 Tailandia \n", + "16 Los Ángeles 2010 Estados Unidos \n", + "17 Osaka 2010 Japón \n", + "18 Karachi 2011 Pakistán \n", + "19 Moscú 2010 Rusia \n", + "20 Calcuta 2011 India \n", + "21 Buenos Aires 2017 Argentina \n", + "22 Estambul 2015 Turquía \n", + "23 Teherán 2011 Irán \n", + "24 Londres 2011 Reino Unido \n", + "25 Johannesburgo 2009 Sudáfrica \n", + "26 Tianjin 2010 China \n", + "27 Río de Janeiro 2010 Brasil \n", + "28 Lahore 1998 Pakistán \n", + "29 Kinsasa 2004 República Democrática del Congo \n", + ".. ... ... ... \n", + "20 Lisboa 2001 Portugal \n", + "21 Budapest 2011 Hungría \n", + "22 Katowice 2011 Polonia \n", + "23 Ámsterdam 2001 Países Bajos \n", + "24 Stuttgart 2011 Alemania \n", + "25 Varsovia 2011 Polonia \n", + "26 Bucarest 2011 Rumania \n", + "27 Múnich 2011 Alemania \n", + "28 Viena 2011 Austria \n", + "29 Leeds 2011 Reino Unido \n", + "30 Estocolmo NaN Suecia \n", + "31 Bruselas NaN Bélgica \n", + "32 Minsk 2009 Bielorrusia \n", + "33 Lyon 1999 Francia \n", + "34 Liverpool 2011 Reino Unido \n", + "35 Valencia 2011 España \n", + "36 Nizni Nóvgorod 2010 Rusia \n", + "37 Turín 2011 Italia \n", + "38 Járkov 2001 Ucrania \n", + "39 Marsella 1999 Francia \n", + "40 Glasgow 2011 Reino Unido \n", + "41 Copenhague NaN Dinamarca \n", + "42 Sheffield 2011 Reino Unido \n", + "43 Mannheim 2011 Alemania \n", + "44 Donetsk 2001 Ucrania \n", + "45 Newcastle upon Tyne 2011 Reino Unido \n", + "46 Praga 2001 República Checa \n", + "47 Volgogrado 2010 Rusia \n", + "48 Belgrado 2011 Serbia \n", + "49 Dnipropetrovsk 2001 Ucrania \n", + "\n", + " Población según Citypopulation (2015) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "5 NaN \n", + "6 NaN \n", + "7 NaN \n", + "8 NaN \n", + "9 NaN \n", + "10 NaN \n", + "11 NaN \n", + "12 NaN \n", + "13 NaN \n", + "14 NaN \n", + "15 NaN \n", + "16 NaN \n", + "17 NaN \n", + "18 NaN \n", + "19 NaN \n", + "20 NaN \n", + "21 NaN \n", + "22 NaN \n", + "23 NaN \n", + "24 NaN \n", + "25 NaN \n", + "26 NaN \n", + "27 NaN \n", + "28 NaN \n", + "29 NaN \n", + ".. ... \n", + "20 2.600.000 \n", + "21 2.550.000 \n", + "22 2.400.000 \n", + "23 2.375.000 \n", + "24 2.300.000 \n", + "25 2.275.000 \n", + "26 2.175.000 \n", + "27 2.175.000 \n", + "28 2.125.000 \n", + "29 2.125.000 \n", + "30 2.075.000 \n", + "31 2.000.000 \n", + "32 1.950.000 \n", + "33 1.920.000 \n", + "34 1.830.000 \n", + "35 1.780.000 \n", + "36 1.750.000 \n", + "37 1.670.000 \n", + "38 1.650.000 \n", + "39 1.640.000 \n", + "40 1.610.000 \n", + "41 1.600.000 \n", + "42 1.530.000 \n", + "43 1.520.000 \n", + "44 1.480.000 \n", + "45 1.460.000 \n", + "46 1.460.000 \n", + "47 1.410.000 \n", + "48 1.400.000 \n", + "49 1.390.000 \n", + "\n", + " Población según Citypopulation (2016) Población según Citypopulation[1]​ \\\n", + "0 NaN 45 600 000 \n", + "1 NaN 40 200 000 \n", + "2 NaN 35 900 000 \n", + "3 NaN 30 600 000 \n", + "4 NaN 29 400 000 \n", + "5 NaN 25 200 000 \n", + "6 NaN 24 700 000 \n", + "7 NaN 24 700 000 \n", + "8 NaN 22 800 000 \n", + "9 NaN 22 400 000 \n", + "10 NaN 22 200 000 \n", + "11 NaN 20 500 000 \n", + "12 NaN 20 400 000 \n", + "13 NaN 19 500 000 \n", + "14 NaN 18 800 000 \n", + "15 NaN 18 300 000 \n", + "16 NaN 17 800 000 \n", + "17 NaN 17 700 000 \n", + "18 NaN 17 300 000 \n", + "19 NaN 17 200 000 \n", + "20 NaN 16 600 000 \n", + "21 NaN 16 300 000 \n", + "22 NaN 15 800 000 \n", + "23 NaN 15 000 000 \n", + "24 NaN 14 700 000 \n", + "25 NaN 13 700 000 \n", + "26 NaN 13 200 000 \n", + "27 NaN 13 100 000 \n", + "28 NaN 12 600 000 \n", + "29 NaN 12 000 000 \n", + ".. ... ... \n", + "20 NaN NaN \n", + "21 NaN NaN \n", + "22 NaN NaN \n", + "23 NaN NaN \n", + "24 NaN NaN \n", + "25 NaN NaN \n", + "26 NaN NaN \n", + "27 NaN NaN \n", + "28 NaN NaN \n", + "29 NaN NaN \n", + "30 NaN NaN \n", + "31 NaN NaN \n", + "32 NaN NaN \n", + "33 NaN NaN \n", + "34 NaN NaN \n", + "35 NaN NaN \n", + "36 NaN NaN \n", + "37 NaN NaN \n", + "38 NaN NaN \n", + "39 NaN NaN \n", + "40 NaN NaN \n", + "41 NaN NaN \n", + "42 NaN NaN \n", + "43 NaN NaN \n", + "44 NaN NaN \n", + "45 NaN NaN \n", + "46 NaN NaN \n", + "47 NaN NaN \n", + "48 NaN NaN \n", + "49 NaN NaN \n", + "\n", + " Población según Demographia (2015) Población según Demographia[2]​ \\\n", + "0 NaN 42 941 000 \n", + "1 NaN 38 001 000 \n", + "2 NaN 29 213 000 \n", + "3 NaN 11 399 000 \n", + "4 NaN 25 703 000 \n", + "5 NaN 12 946 000 \n", + "6 NaN 13 558 000 \n", + "7 NaN 21 043 000 \n", + "8 NaN 22 452 000 \n", + "9 NaN 19 532 000 \n", + "10 NaN 21 066 000 \n", + "11 NaN 13 123 000 \n", + "12 NaN 13 123 000 \n", + "13 NaN 17 598 000 \n", + "14 NaN 18 772 000 \n", + "15 NaN 11 084 000 \n", + "16 NaN 14 504 000 \n", + "17 NaN 20 238 000 \n", + "18 NaN 16 618 000 \n", + "19 NaN 12 166 000 \n", + "20 NaN 14 865 000 \n", + "21 NaN 18 086 000 \n", + "22 NaN 14 164 000 \n", + "23 NaN 10 239 000 \n", + "24 NaN 10 313 000 \n", + "25 NaN 12 613 000 \n", + "26 NaN 11 210 000 \n", + "27 NaN 12 902 000 \n", + "28 NaN 8 741 000 \n", + "29 NaN 11 587 000 \n", + ".. ... ... \n", + "20 2.666.000 NaN \n", + "21 1.710.000 NaN \n", + "22 2.190.000 NaN \n", + "23 1.624.000 NaN \n", + "24 1.379.000 NaN \n", + "25 1.720.000 NaN \n", + "26 1.860.000 NaN \n", + "27 1.981.000 NaN \n", + "28 1.763.000 NaN \n", + "29 1.893.000 NaN \n", + "30 1.484.000 NaN \n", + "31 2.089.000 NaN \n", + "32 1.910.000 NaN \n", + "33 1.583.000 NaN \n", + "34 875.000 NaN \n", + "35 1.561.000 NaN \n", + "36 1.201.000 NaN \n", + "37 1.521.000 NaN \n", + "38 1.440.000 NaN \n", + "39 1.397.000 NaN \n", + "40 1.220.000 NaN \n", + "41 1.248.000 NaN \n", + "42 706.000 NaN \n", + "43 559.000 NaN \n", + "44 930.000 NaN \n", + "45 793.000 NaN \n", + "46 1.310.000 NaN \n", + "47 999.000 NaN \n", + "48 1.180.000 NaN \n", + "49 950.000 NaN \n", + "\n", + " Población según ONU (2015) Población según ONU[3]​ \\\n", + "0 NaN 45 553 000 \n", + "1 NaN 37 843 000 \n", + "2 NaN 30 539 000 \n", + "3 NaN 30 477 000 \n", + "4 NaN 24 998 000 \n", + "5 NaN 24 123 000 \n", + "6 NaN 23 480 000 \n", + "7 NaN 21 732 000 \n", + "8 NaN 20 063 000 \n", + "9 NaN 20 630 000 \n", + "10 NaN 20 365 000 \n", + "11 NaN 13 123 000 \n", + "12 NaN 13 123 000 \n", + "13 NaN 15 669 000 \n", + "14 NaN 15 600 000 \n", + "15 NaN 14 998 000 \n", + "16 NaN 15 058 000 \n", + "17 NaN 17 444 000 \n", + "18 NaN 22 123 000 \n", + "19 NaN 16 170 000 \n", + "20 NaN 14 667 000 \n", + "21 NaN 14 122 000 \n", + "22 NaN 13 287 000 \n", + "23 NaN 13 532 000 \n", + "24 NaN 10 236 000 \n", + "25 NaN 12 066 000 \n", + "26 NaN 10 920 000 \n", + "27 NaN 11 727 000 \n", + "28 NaN 10 052 000 \n", + "29 NaN 11 587 000 \n", + ".. ... ... \n", + "20 2.884.000 NaN \n", + "21 1.714.000 NaN \n", + "22 303.000 NaN \n", + "23 1.091.000 NaN \n", + "24 626.000 NaN \n", + "25 1.722.000 NaN \n", + "26 1.868.000 NaN \n", + "27 1.438.000 NaN \n", + "28 1.753.000 NaN \n", + "29 1.912.000 NaN \n", + "30 1.486.000 NaN \n", + "31 2.045.000 NaN \n", + "32 1.915.000 NaN \n", + "33 1.609.000 NaN \n", + "34 870.000 NaN \n", + "35 810.000 NaN \n", + "36 1.212.000 NaN \n", + "37 1.765.000 NaN \n", + "38 1.441.000 NaN \n", + "39 1.605.000 NaN \n", + "40 1.223.000 NaN \n", + "41 1.268.000 NaN \n", + "42 706.000 NaN \n", + "43 319.000 NaN \n", + "44 934.000 NaN \n", + "45 791.000 NaN \n", + "46 1.314.000 NaN \n", + "47 1.022.000 NaN \n", + "48 1.182.000 NaN \n", + "49 957.000 NaN \n", + "\n", + " Población según último censo Población según último censo oficial Posición \n", + "0 NaN 39 264 086 1 \n", + "1 NaN 8 945 695 2 \n", + "2 NaN 10 558 121 3 \n", + "3 NaN 25 420 288 4 \n", + "4 NaN 16 349 831 5 \n", + "5 NaN 1 652 171 6 \n", + "6 NaN 23 836 272 7 \n", + "7 NaN 19 617 302 8 \n", + "8 NaN 20 892 724 9 \n", + "9 NaN 19 556 440 10 \n", + "10 NaN 19 683 975 11 \n", + "11 NaN 7 740 018 12 \n", + "12 NaN 16 446 857 13 \n", + "13 NaN 14 543 124 14 \n", + "14 NaN 5 195 247 15 \n", + "15 NaN 8 986 218 16 \n", + "16 NaN 17 053 905 17 \n", + "17 NaN 2 665 314 18 \n", + "18 NaN 21 142 625 19 \n", + "19 NaN 11 612 885 20 \n", + "20 NaN 14 057 991 21 \n", + "21 NaN 13 588 171 22 \n", + "22 NaN 14 657 000 23 \n", + "23 NaN 9 768 677 24 \n", + "24 NaN 11 140 445 25 \n", + "25 NaN 10 002 039 26 \n", + "26 NaN 9 290 263 28 \n", + "27 NaN 11 835 708 27 \n", + "28 NaN 5 143 495 29 \n", + "29 NaN 7 273 947 30 \n", + ".. ... ... ... \n", + "20 564.657 NaN 21 \n", + "21 1.729.040 NaN 22 \n", + "22 310.764 NaN 23 \n", + "23 734.533 NaN 24 \n", + "24 585.890 NaN 25 \n", + "25 1.700.612 NaN 26 \n", + "26 1.883.425 NaN 27 \n", + "27 1.348.335 NaN 28 \n", + "28 2.015.580 NaN 29 \n", + "29 2.058.861 NaN 30 \n", + "30 NaN NaN 31 \n", + "31 NaN NaN 32 \n", + "32 1.836.808 NaN 33 \n", + "33 1.428.998 NaN 34 \n", + "34 1.367.147 NaN 35 \n", + "35 792.054 NaN 36 \n", + "36 1.250.619 NaN 37 \n", + "37 872.367 NaN 38 \n", + "38 1.470.902 NaN 39 \n", + "39 1.463.016 NaN 40 \n", + "40 1.601.154 NaN 41 \n", + "41 NaN NaN 42 \n", + "42 795.844 NaN 43 \n", + "43 290.117 NaN 44 \n", + "44 1.016.194 NaN 45 \n", + "45 1.220.781 NaN 46 \n", + "46 1.169.106 NaN 47 \n", + "47 1.021.215 NaN 48 \n", + "48 1.166.763 NaN 49 \n", + "49 1.065.008 NaN 50 \n", + "\n", + "[839 rows x 13 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#consolidar todos los datos de todas los dataframes\n", + "wikiWW = wiki2[0]\n", + "wikiAF = wiki2[2]\n", + "wikiAN = wiki2[6]\n", + "wikiAC = wiki2[8]\n", + "wikiAS = wiki2[9]\n", + "wikiOM = wiki2[13]\n", + "wikiIN = wiki2[15]\n", + "wikiAO = wiki2[17]\n", + "wikiSA = wiki2[19]\n", + "wikiEOC = wiki2[23]\n", + "wikiEOR = wiki2[25]\n", + "wikiOC = wiki2[27]\n", + "wikiAM = wiki2[4]\n", + "wikiAS = wiki2[11]\n", + "wikiEU = wiki2[21]\n", + "\n", + "wiki3_df = pandas.concat([wikiWW, wikiAF, wikiAN, wikiAC, wikiAS, wikiOM, wikiIN, wikiAO, wikiSA, wikiEOC, wikiEOR, wikiOC, wikiAM, wikiAS, wikiEU], axis=0)\n", + "wiki3_df" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "#Exportar hacia un archivo csv todo el dataframe duplicado\n", + "wiki3_df.to_csv('wiki3_df.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Ciudad', 'Fecha y fuente', 'País',\n", + " 'Población según Citypopulation (2015)',\n", + " 'Población según Citypopulation (2016)',\n", + " 'Población según Citypopulation[1]​',\n", + " 'Población según Demographia (2015)', 'Población según Demographia[2]​',\n", + " 'Población según ONU (2015)', 'Población según ONU[3]​',\n", + " 'Población según último censo', 'Población según último censo oficial',\n", + " 'Posición'],\n", + " dtype='object')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#sin embargo existen columnas duplicadas. Por ejemplo Citpopulation tiene 3 columnas con fechas diferentes.\n", + "#debemos cambiar el nombre de las columnas (1) y convertir sus valores en números (2)\n", + "wiki3_df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Ciudad',\n", + " 'Fecha y fuente',\n", + " 'País',\n", + " 'Población según Citypopulation (2015)',\n", + " 'Población según Citypopulation (2016)',\n", + " 'Población según Citypopulation[1]\\u200b',\n", + " 'Población según Demographia (2015)',\n", + " 'Población según Demographia[2]\\u200b',\n", + " 'Población según ONU (2015)',\n", + " 'Población según ONU[3]\\u200b',\n", + " 'Población según último censo',\n", + " 'Población según último censo oficial',\n", + " 'Posición']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#determinar los nombres de las columnas cuyos nombres deberán cambiar\n", + "lista_columns = list(wiki3_df.columns)\n", + "lista_columns" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 45 600 000\n", + "1 40 200 000\n", + "2 35 900 000\n", + "3 30 600 000\n", + "4 29 400 000\n", + "Name: Población según Citypopulation[1]​, dtype: object" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wiki3_df['Población según Citypopulation[1]\\u200b'].head()\n", + "#esta es la columna cuyo nombre es el más complicado por los []\n", + "#Observar la diferencia entre \"Población según Citypopulation[1]\" y \"Población según Citypopulation[1]\\u200b\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Ciudad', 'Fecha', 'País', 'Citypopulation 2015', 'Citypopulation 2016',\n", + " 'Citypopulation Sin Fecha', 'Demographia 2015', 'Demographia Sin Fecha',\n", + " 'ONU 2015', 'ONU Sin Fecha', 'Ultimo Censo', 'Ultimo Censo Oficial',\n", + " 'Posición en Tabla Inicial'],\n", + " dtype='object')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wiki3_df.rename(columns = {'Población según Citypopulation (2015)': 'Citypopulation 2015',\n", + " 'Población según Citypopulation (2016)': 'Citypopulation 2016',\n", + " 'Población según Demographia (2015)': 'Demographia 2015',\n", + " 'Población según ONU (2015)': 'ONU 2015',\n", + " 'Población según último censo': 'Ultimo Censo',\n", + " 'Población según último censo oficial': 'Ultimo Censo Oficial',\n", + " 'Posición': 'Posición en Tabla Inicial', \n", + " 'Población según Citypopulation[1]\\u200b': 'Citypopulation Sin Fecha', 'Población según Demographia[2]\\u200b': 'Demographia Sin Fecha', 'Población según ONU[3]\\u200b': 'ONU Sin Fecha', 'Fecha y fuente': 'Fecha'},\n", + " inplace=True)\n", + "wiki3_df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Al existir múltiples fechas para una misma fuente, se consolidarán en nuevas columnas generadas:\n", + "#el criterio de selección será seleccionar fecha más reciente o valor disponible\n", + "#primer paso generar nuevas columnas\n", + "#wiki3_df['Citypopulation'] = ''\n", + "#wiki3_df['Demographia'] = ''\n", + "#wiki3_df['ONU'] = ''\n", + "#wiki3_df.columns\n", + "#se descarta esta opción debido que los inputs de las nuevas columnas generadas no provienen de una sola columna (no es copiar y pegar)\n", + "#se debe realizar una evaluación (if: existe numero o no estaba vacío) o unir las columnas de origen (Citypopulation 2015, 2016 y sin fecha)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ciudad 0\n", + "Fecha 19\n", + "País 0\n", + "Citypopulation 2015 303\n", + "Citypopulation 2016 636\n", + "Citypopulation Sin Fecha 739\n", + "Demographia 2015 100\n", + "Demographia Sin Fecha 739\n", + "ONU 2015 100\n", + "ONU Sin Fecha 739\n", + "Ultimo Censo 119\n", + "Ultimo Censo Oficial 739\n", + "Posición en Tabla Inicial 0\n", + "dtype: int64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#primero validar qué columnas están vacias\n", + "null_cols = wiki3_df.isnull().sum()\n", + "null_cols\n", + "#null_cols[null_cols > 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ciudad 0\n", + "Fecha 19\n", + "País 0\n", + "Citypopulation 2015 303\n", + "Demographia 2015 100\n", + "ONU 2015 100\n", + "Ultimo Censo 119\n", + "Posición en Tabla Inicial 0\n", + "dtype: int64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#las columnas con el mayor numero de valores vacios se eliminarán finalmente existen\n", + "#Existen 9 columnas con diferentes fuentes sobre el censo en las ciudades\n", + "wiki3_df = wiki3_df.drop(['Citypopulation 2016', 'Citypopulation Sin Fecha', 'Demographia Sin Fecha', 'ONU Sin Fecha', 'Ultimo Censo Oficial'], axis=1)\n", + "null_cols = wiki3_df.isnull().sum()\n", + "null_cols" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ciudad object\n", + "Fecha object\n", + "País object\n", + "Citypopulation 2015 object\n", + "Demographia 2015 object\n", + "ONU 2015 object\n", + "Ultimo Censo object\n", + "Posición en Tabla Inicial int64\n", + "dtype: object\n" + ] + } + ], + "source": [ + "#confirmar los tipos de valores que tienen las columnas para poder sumar\n", + "print(wiki3_df.dtypes)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "#Antes de convertir a numeros, se debe limpiar la data de los puntos(.) de lo contrario ocurirá error en la conversión\n", + "wiki3_df['Citypopulation 2015']= wiki3_df['Citypopulation 2015'].str.replace('.', '').replace('NaN', '0').replace('---','').replace(' ','') \n", + "wiki3_df['Demographia 2015']= wiki3_df['Demographia 2015'].str.replace('.', '').replace('NaN', '0').replace('---','').replace(' ','') \n", + "wiki3_df['ONU 2015']= wiki3_df['ONU 2015'].str.replace('.', '').replace('NaN', '0').replace('---','').replace(' ','')\n", + "wiki3_df['Ultimo Censo']= wiki3_df['Ultimo Censo'].str.replace('.', '').replace('NaN', '0').replace('---','').replace(' ','')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ciudad object\n", + "Fecha float64\n", + "País object\n", + "Citypopulation 2015 float64\n", + "Demographia 2015 float64\n", + "ONU 2015 float64\n", + "Ultimo Censo float64\n", + "Posición en Tabla Inicial int64\n", + "dtype: object\n" + ] + } + ], + "source": [ + "#Convertir todos los valores de estimaciones de población a números\n", + "wiki3_df[\"Citypopulation 2015\"] = pandas.to_numeric(wiki3_df[\"Citypopulation 2015\"], errors='coerce')\n", + "wiki3_df[\"Demographia 2015\"] = pandas.to_numeric(wiki3_df[\"Demographia 2015\"], errors='coerce')\n", + "wiki3_df[\"ONU 2015\"] = pandas.to_numeric(wiki3_df[\"ONU 2015\"], errors='coerce')\n", + "wiki3_df[\"Fecha\"] = pandas.to_numeric(wiki3_df[\"Fecha\"], errors='coerce')\n", + "wiki3_df[\"Ultimo Censo\"] = pandas.to_numeric(wiki3_df[\"Ultimo Censo\"], errors='coerce')\n", + "#wiki3_df = wiki3_df.astype({\"Posición en la Tabla Inicial\": int})\n", + "print(wiki3_df.dtypes)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CiudadFechaPaísCitypopulation 2015Demographia 2015ONU 2015Ultimo CensoPosición en Tabla Inicial
0Cantón (incluyendo Dongguan, Foshan, Jiangmen,...2010.0China46900000.045553000.042941000.039264086.01
1Tokio2010.0Japón39500000.037843000.038001000.08945695.02
2Shanghái (incl. Suzhou, Kunshan)2010.0China30400000.030477000.029213000.025420288.03
3Yakarta (incluyendo Bogor)2010.0Indonesia30100000.030539000.011399000.010558121.04
4Delhi2011.0India28400000.024998000.025703000.016349831.05
5Karachi2011.0Pakistán25300000.022123000.016618000.021142625.06
6Manila2010.0Filipinas24600000.024123000.012946000.01652171.07
7Bombay (incluyendo Kalyan y Vasai-Virar)2011.0India24300000.021732000.021043000.019617302.08
8Seúl (incluyendo Incheon y Suwon)2010.0Corea del Sur24100000.023480000.010558000.023836272.09
9Daca2011.0Bangladés22300000.015669000.017598000.014543124.010
10Pekín2010.0China20700000.021009000.020384000.016446857.011
11Osaka2010.0Japón19800000.017444000.020238000.02665314.012
12Bangkok (incluyendo Samut Prakan)2010.0Tailandia16700000.014998000.011084000.08986218.013
13Calcuta2011.0India15900000.014667000.014865000.014057991.014
14Teherán (incluyendo Karaj)2011.0Irán13600000.013532000.010239000.09768677.015
15Tianjin2010.0China11200000.010920000.011210000.09290263.016
16Nagoya2010.0Japón10400000.010177000.09406000.02263894.017
17Bangalore2011.0India10300000.09807000.010087000.08520435.018
18Lahore1998.0Pakistán9950000.010052000.08741000.05143495.019
19Madrás2011.0India9900000.09714000.09890000.08653521.020
20Xiamen (incluyendl Quanzhou)2010.0China9850000.011130000.05825000.04273841.021
21Chengdu2010.0China9400000.010376000.07556000.06316922.022
22TaipéiNaNTaiwán9000000.07438000.02666000.0NaN23
23Hyderabad2011.0India8900000.08754000.08942000.07677018.024
24Hangzhou (incluyendo Shaoxing)2010.0China8150000.09625000.08467000.06887819.025
25Ciudad Ho Chi Minh2009.0Vietnam8150000.08957000.07298000.05880615.026
26Wuhan2010.0China7950000.07509000.07906000.07541527.027
27Shantou (incluyendo Chaozhou, Puning, Chaoyang...2010.0China7850000.06337000.06287000.05775239.028
28Shenyang (incluyendo Fushun)2010.0China7600000.07402000.07613000.07037040.029
29Ahmedabad2011.0India7350000.07186000.07343000.06357693.030
...........................
20Lisboa2001.0Portugal2600000.02666000.02884000.0564657.021
21Budapest2011.0Hungría2550000.01710000.01714000.01729040.022
22Katowice2011.0Polonia2400000.02190000.0303000.0310764.023
23Ámsterdam2001.0Países Bajos2375000.01624000.01091000.0734533.024
24Stuttgart2011.0Alemania2300000.01379000.0626000.0585890.025
25Varsovia2011.0Polonia2275000.01720000.01722000.01700612.026
26Bucarest2011.0Rumania2175000.01860000.01868000.01883425.027
27Múnich2011.0Alemania2175000.01981000.01438000.01348335.028
28Viena2011.0Austria2125000.01763000.01753000.02015580.029
29Leeds2011.0Reino Unido2125000.01893000.01912000.02058861.030
30EstocolmoNaNSuecia2075000.01484000.01486000.0NaN31
31BruselasNaNBélgica2000000.02089000.02045000.0NaN32
32Minsk2009.0Bielorrusia1950000.01910000.01915000.01836808.033
33Lyon1999.0Francia1920000.01583000.01609000.01428998.034
34Liverpool2011.0Reino Unido1830000.0875000.0870000.01367147.035
35Valencia2011.0España1780000.01561000.0810000.0792054.036
36Nizni Nóvgorod2010.0Rusia1750000.01201000.01212000.01250619.037
37Turín2011.0Italia1670000.01521000.01765000.0872367.038
38Járkov2001.0Ucrania1650000.01440000.01441000.01470902.039
39Marsella1999.0Francia1640000.01397000.01605000.01463016.040
40Glasgow2011.0Reino Unido1610000.01220000.01223000.01601154.041
41CopenhagueNaNDinamarca1600000.01248000.01268000.0NaN42
42Sheffield2011.0Reino Unido1530000.0706000.0706000.0795844.043
43Mannheim2011.0Alemania1520000.0559000.0319000.0290117.044
44Donetsk2001.0Ucrania1480000.0930000.0934000.01016194.045
45Newcastle upon Tyne2011.0Reino Unido1460000.0793000.0791000.01220781.046
46Praga2001.0República Checa1460000.01310000.01314000.01169106.047
47Volgogrado2010.0Rusia1410000.0999000.01022000.01021215.048
48Belgrado2011.0Serbia1400000.01180000.01182000.01166763.049
49Dnipropetrovsk2001.0Ucrania1390000.0950000.0957000.01065008.050
\n", + "

491 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " Ciudad Fecha \\\n", + "0 Cantón (incluyendo Dongguan, Foshan, Jiangmen,... 2010.0 \n", + "1 Tokio 2010.0 \n", + "2 Shanghái (incl. Suzhou, Kunshan) 2010.0 \n", + "3 Yakarta (incluyendo Bogor) 2010.0 \n", + "4 Delhi 2011.0 \n", + "5 Karachi 2011.0 \n", + "6 Manila 2010.0 \n", + "7 Bombay (incluyendo Kalyan y Vasai-Virar) 2011.0 \n", + "8 Seúl (incluyendo Incheon y Suwon) 2010.0 \n", + "9 Daca 2011.0 \n", + "10 Pekín 2010.0 \n", + "11 Osaka 2010.0 \n", + "12 Bangkok (incluyendo Samut Prakan) 2010.0 \n", + "13 Calcuta 2011.0 \n", + "14 Teherán (incluyendo Karaj) 2011.0 \n", + "15 Tianjin 2010.0 \n", + "16 Nagoya 2010.0 \n", + "17 Bangalore 2011.0 \n", + "18 Lahore 1998.0 \n", + "19 Madrás 2011.0 \n", + "20 Xiamen (incluyendl Quanzhou) 2010.0 \n", + "21 Chengdu 2010.0 \n", + "22 Taipéi NaN \n", + "23 Hyderabad 2011.0 \n", + "24 Hangzhou (incluyendo Shaoxing) 2010.0 \n", + "25 Ciudad Ho Chi Minh 2009.0 \n", + "26 Wuhan 2010.0 \n", + "27 Shantou (incluyendo Chaozhou, Puning, Chaoyang... 2010.0 \n", + "28 Shenyang (incluyendo Fushun) 2010.0 \n", + "29 Ahmedabad 2011.0 \n", + ".. ... ... \n", + "20 Lisboa 2001.0 \n", + "21 Budapest 2011.0 \n", + "22 Katowice 2011.0 \n", + "23 Ámsterdam 2001.0 \n", + "24 Stuttgart 2011.0 \n", + "25 Varsovia 2011.0 \n", + "26 Bucarest 2011.0 \n", + "27 Múnich 2011.0 \n", + "28 Viena 2011.0 \n", + "29 Leeds 2011.0 \n", + "30 Estocolmo NaN \n", + "31 Bruselas NaN \n", + "32 Minsk 2009.0 \n", + "33 Lyon 1999.0 \n", + "34 Liverpool 2011.0 \n", + "35 Valencia 2011.0 \n", + "36 Nizni Nóvgorod 2010.0 \n", + "37 Turín 2011.0 \n", + "38 Járkov 2001.0 \n", + "39 Marsella 1999.0 \n", + "40 Glasgow 2011.0 \n", + "41 Copenhague NaN \n", + "42 Sheffield 2011.0 \n", + "43 Mannheim 2011.0 \n", + "44 Donetsk 2001.0 \n", + "45 Newcastle upon Tyne 2011.0 \n", + "46 Praga 2001.0 \n", + "47 Volgogrado 2010.0 \n", + "48 Belgrado 2011.0 \n", + "49 Dnipropetrovsk 2001.0 \n", + "\n", + " País Citypopulation 2015 Demographia 2015 ONU 2015 \\\n", + "0 China 46900000.0 45553000.0 42941000.0 \n", + "1 Japón 39500000.0 37843000.0 38001000.0 \n", + "2 China 30400000.0 30477000.0 29213000.0 \n", + "3 Indonesia 30100000.0 30539000.0 11399000.0 \n", + "4 India 28400000.0 24998000.0 25703000.0 \n", + "5 Pakistán 25300000.0 22123000.0 16618000.0 \n", + "6 Filipinas 24600000.0 24123000.0 12946000.0 \n", + "7 India 24300000.0 21732000.0 21043000.0 \n", + "8 Corea del Sur 24100000.0 23480000.0 10558000.0 \n", + "9 Bangladés 22300000.0 15669000.0 17598000.0 \n", + "10 China 20700000.0 21009000.0 20384000.0 \n", + "11 Japón 19800000.0 17444000.0 20238000.0 \n", + "12 Tailandia 16700000.0 14998000.0 11084000.0 \n", + "13 India 15900000.0 14667000.0 14865000.0 \n", + "14 Irán 13600000.0 13532000.0 10239000.0 \n", + "15 China 11200000.0 10920000.0 11210000.0 \n", + "16 Japón 10400000.0 10177000.0 9406000.0 \n", + "17 India 10300000.0 9807000.0 10087000.0 \n", + "18 Pakistán 9950000.0 10052000.0 8741000.0 \n", + "19 India 9900000.0 9714000.0 9890000.0 \n", + "20 China 9850000.0 11130000.0 5825000.0 \n", + "21 China 9400000.0 10376000.0 7556000.0 \n", + "22 Taiwán 9000000.0 7438000.0 2666000.0 \n", + "23 India 8900000.0 8754000.0 8942000.0 \n", + "24 China 8150000.0 9625000.0 8467000.0 \n", + "25 Vietnam 8150000.0 8957000.0 7298000.0 \n", + "26 China 7950000.0 7509000.0 7906000.0 \n", + "27 China 7850000.0 6337000.0 6287000.0 \n", + "28 China 7600000.0 7402000.0 7613000.0 \n", + "29 India 7350000.0 7186000.0 7343000.0 \n", + ".. ... ... ... ... \n", + "20 Portugal 2600000.0 2666000.0 2884000.0 \n", + "21 Hungría 2550000.0 1710000.0 1714000.0 \n", + "22 Polonia 2400000.0 2190000.0 303000.0 \n", + "23 Países Bajos 2375000.0 1624000.0 1091000.0 \n", + "24 Alemania 2300000.0 1379000.0 626000.0 \n", + "25 Polonia 2275000.0 1720000.0 1722000.0 \n", + "26 Rumania 2175000.0 1860000.0 1868000.0 \n", + "27 Alemania 2175000.0 1981000.0 1438000.0 \n", + "28 Austria 2125000.0 1763000.0 1753000.0 \n", + "29 Reino Unido 2125000.0 1893000.0 1912000.0 \n", + "30 Suecia 2075000.0 1484000.0 1486000.0 \n", + "31 Bélgica 2000000.0 2089000.0 2045000.0 \n", + "32 Bielorrusia 1950000.0 1910000.0 1915000.0 \n", + "33 Francia 1920000.0 1583000.0 1609000.0 \n", + "34 Reino Unido 1830000.0 875000.0 870000.0 \n", + "35 España 1780000.0 1561000.0 810000.0 \n", + "36 Rusia 1750000.0 1201000.0 1212000.0 \n", + "37 Italia 1670000.0 1521000.0 1765000.0 \n", + "38 Ucrania 1650000.0 1440000.0 1441000.0 \n", + "39 Francia 1640000.0 1397000.0 1605000.0 \n", + "40 Reino Unido 1610000.0 1220000.0 1223000.0 \n", + "41 Dinamarca 1600000.0 1248000.0 1268000.0 \n", + "42 Reino Unido 1530000.0 706000.0 706000.0 \n", + "43 Alemania 1520000.0 559000.0 319000.0 \n", + "44 Ucrania 1480000.0 930000.0 934000.0 \n", + "45 Reino Unido 1460000.0 793000.0 791000.0 \n", + "46 República Checa 1460000.0 1310000.0 1314000.0 \n", + "47 Rusia 1410000.0 999000.0 1022000.0 \n", + "48 Serbia 1400000.0 1180000.0 1182000.0 \n", + "49 Ucrania 1390000.0 950000.0 957000.0 \n", + "\n", + " Ultimo Censo Posición en Tabla Inicial \n", + "0 39264086.0 1 \n", + "1 8945695.0 2 \n", + "2 25420288.0 3 \n", + "3 10558121.0 4 \n", + "4 16349831.0 5 \n", + "5 21142625.0 6 \n", + "6 1652171.0 7 \n", + "7 19617302.0 8 \n", + "8 23836272.0 9 \n", + "9 14543124.0 10 \n", + "10 16446857.0 11 \n", + "11 2665314.0 12 \n", + "12 8986218.0 13 \n", + "13 14057991.0 14 \n", + "14 9768677.0 15 \n", + "15 9290263.0 16 \n", + "16 2263894.0 17 \n", + "17 8520435.0 18 \n", + "18 5143495.0 19 \n", + "19 8653521.0 20 \n", + "20 4273841.0 21 \n", + "21 6316922.0 22 \n", + "22 NaN 23 \n", + "23 7677018.0 24 \n", + "24 6887819.0 25 \n", + "25 5880615.0 26 \n", + "26 7541527.0 27 \n", + "27 5775239.0 28 \n", + "28 7037040.0 29 \n", + "29 6357693.0 30 \n", + ".. ... ... \n", + "20 564657.0 21 \n", + "21 1729040.0 22 \n", + "22 310764.0 23 \n", + "23 734533.0 24 \n", + "24 585890.0 25 \n", + "25 1700612.0 26 \n", + "26 1883425.0 27 \n", + "27 1348335.0 28 \n", + "28 2015580.0 29 \n", + "29 2058861.0 30 \n", + "30 NaN 31 \n", + "31 NaN 32 \n", + "32 1836808.0 33 \n", + "33 1428998.0 34 \n", + "34 1367147.0 35 \n", + "35 792054.0 36 \n", + "36 1250619.0 37 \n", + "37 872367.0 38 \n", + "38 1470902.0 39 \n", + "39 1463016.0 40 \n", + "40 1601154.0 41 \n", + "41 NaN 42 \n", + "42 795844.0 43 \n", + "43 290117.0 44 \n", + "44 1016194.0 45 \n", + "45 1220781.0 46 \n", + "46 1169106.0 47 \n", + "47 1021215.0 48 \n", + "48 1166763.0 49 \n", + "49 1065008.0 50 \n", + "\n", + "[491 rows x 8 columns]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Eliminar los rows que contengan valores \"0\" o \"NaN\": ¿Cómo debe resultar?\n", + "wiki3_df.dropna(subset=['Citypopulation 2015'], how = 'all', inplace = True)\n", + "wiki3_df" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of duplicate records dropped: 50\n" + ] + } + ], + "source": [ + "#Empezar a trabajar en limpiar la data:\n", + "#1. Eliminar registros duplicados\n", + "before = len(wiki3_df)\n", + "wiki3_df = wiki3_df.drop_duplicates()\n", + "after = len(wiki3_df)\n", + "print('Number of duplicate records dropped: ', str(before - after))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Ciudad Fecha País Citypopulation 2015 Demographia 2015 ONU 2015 \\\n", + "27 Beirut 1970.0 Líbano 1630000.0 2200000.0 2226000.0 \n", + "\n", + " Ultimo Censo Posición en Tabla Inicial \n", + "27 474870.0 28 \n" + ] + } + ], + "source": [ + "#2. ¿Cuál es el censo más antiguo?\n", + "print(wiki3_df[wiki3_df.Fecha== wiki3_df.Fecha.min()])" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CiudadFechaCitypopulation 2015Demographia 2015ONU 2015Ultimo CensoPosición en Tabla Inicial
País
Afganistán1111111
Alemania1716171515717
Arabia Saudita6666666
Armenia1111111
Australia5555555
Austria2222222
Azerbaiyán1111111
Bangladés4444444
Bielorrusia2222222
Birmania3333333
Bulgaria1111111
Bélgica3033303
Camboya1111111
China116116116107108109116
Corea del Norte1111111
Corea del Sur8888788
Dinamarca2022202
Emiratos Árabes Unidos2222112
España7777747
Estados Unidos1111111
Filipinas5555515
Finlandia1111111
Francia6666666
Georgia1111111
Grecia2222222
Hong Kong2222222
Hungría2222222
India65646563646365
Indonesia18181818161018
Irak6666666
........................
Kuwait1011101
Líbano1111111
Malasia3333213
Mongolia1111111
Nepal1111111
Noruega1111111
Nueva Zelanda1111111
Pakistán11111111101011
Palestina1111111
Países Bajos4444424
Polonia4444424
Portugal3333313
Reino Unido17171717171717
República Checa2222222
Rumania2222222
Rusia18181818181718
Serbia2222222
Singapur Malasia2021112
Siria2222222
Sri Lanka2222212
Suecia2022202
Suiza1111111
Tailandia3333313
Taiwán5055505
Turkmenistán1111111
Turquía10101010101010
Ucrania9999999
Uzbekistán1111111
Vietnam3333333
Yemen1111111
\n", + "

67 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " Ciudad Fecha Citypopulation 2015 Demographia 2015 \\\n", + "País \n", + "Afganistán 1 1 1 1 \n", + "Alemania 17 16 17 15 \n", + "Arabia Saudita 6 6 6 6 \n", + "Armenia 1 1 1 1 \n", + "Australia 5 5 5 5 \n", + "Austria 2 2 2 2 \n", + "Azerbaiyán 1 1 1 1 \n", + "Bangladés 4 4 4 4 \n", + "Bielorrusia 2 2 2 2 \n", + "Birmania 3 3 3 3 \n", + "Bulgaria 1 1 1 1 \n", + "Bélgica 3 0 3 3 \n", + "Camboya 1 1 1 1 \n", + "China 116 116 116 107 \n", + "Corea del Norte 1 1 1 1 \n", + "Corea del Sur 8 8 8 8 \n", + "Dinamarca 2 0 2 2 \n", + "Emiratos Árabes Unidos 2 2 2 2 \n", + "España 7 7 7 7 \n", + "Estados Unidos 1 1 1 1 \n", + "Filipinas 5 5 5 5 \n", + "Finlandia 1 1 1 1 \n", + "Francia 6 6 6 6 \n", + "Georgia 1 1 1 1 \n", + "Grecia 2 2 2 2 \n", + "Hong Kong 2 2 2 2 \n", + "Hungría 2 2 2 2 \n", + "India 65 64 65 63 \n", + "Indonesia 18 18 18 18 \n", + "Irak 6 6 6 6 \n", + "... ... ... ... ... \n", + "Kuwait 1 0 1 1 \n", + "Líbano 1 1 1 1 \n", + "Malasia 3 3 3 3 \n", + "Mongolia 1 1 1 1 \n", + "Nepal 1 1 1 1 \n", + "Noruega 1 1 1 1 \n", + "Nueva Zelanda 1 1 1 1 \n", + "Pakistán 11 11 11 11 \n", + "Palestina 1 1 1 1 \n", + "Países Bajos 4 4 4 4 \n", + "Polonia 4 4 4 4 \n", + "Portugal 3 3 3 3 \n", + "Reino Unido 17 17 17 17 \n", + "República Checa 2 2 2 2 \n", + "Rumania 2 2 2 2 \n", + "Rusia 18 18 18 18 \n", + "Serbia 2 2 2 2 \n", + "Singapur Malasia 2 0 2 1 \n", + "Siria 2 2 2 2 \n", + "Sri Lanka 2 2 2 2 \n", + "Suecia 2 0 2 2 \n", + "Suiza 1 1 1 1 \n", + "Tailandia 3 3 3 3 \n", + "Taiwán 5 0 5 5 \n", + "Turkmenistán 1 1 1 1 \n", + "Turquía 10 10 10 10 \n", + "Ucrania 9 9 9 9 \n", + "Uzbekistán 1 1 1 1 \n", + "Vietnam 3 3 3 3 \n", + "Yemen 1 1 1 1 \n", + "\n", + " ONU 2015 Ultimo Censo Posición en Tabla Inicial \n", + "País \n", + "Afganistán 1 1 1 \n", + "Alemania 15 7 17 \n", + "Arabia Saudita 6 6 6 \n", + "Armenia 1 1 1 \n", + "Australia 5 5 5 \n", + "Austria 2 2 2 \n", + "Azerbaiyán 1 1 1 \n", + "Bangladés 4 4 4 \n", + "Bielorrusia 2 2 2 \n", + "Birmania 3 3 3 \n", + "Bulgaria 1 1 1 \n", + "Bélgica 3 0 3 \n", + "Camboya 1 1 1 \n", + "China 108 109 116 \n", + "Corea del Norte 1 1 1 \n", + "Corea del Sur 7 8 8 \n", + "Dinamarca 2 0 2 \n", + "Emiratos Árabes Unidos 1 1 2 \n", + "España 7 4 7 \n", + "Estados Unidos 1 1 1 \n", + "Filipinas 5 1 5 \n", + "Finlandia 1 1 1 \n", + "Francia 6 6 6 \n", + "Georgia 1 1 1 \n", + "Grecia 2 2 2 \n", + "Hong Kong 2 2 2 \n", + "Hungría 2 2 2 \n", + "India 64 63 65 \n", + "Indonesia 16 10 18 \n", + "Irak 6 6 6 \n", + "... ... ... ... \n", + "Kuwait 1 0 1 \n", + "Líbano 1 1 1 \n", + "Malasia 2 1 3 \n", + "Mongolia 1 1 1 \n", + "Nepal 1 1 1 \n", + "Noruega 1 1 1 \n", + "Nueva Zelanda 1 1 1 \n", + "Pakistán 10 10 11 \n", + "Palestina 1 1 1 \n", + "Países Bajos 4 2 4 \n", + "Polonia 4 2 4 \n", + "Portugal 3 1 3 \n", + "Reino Unido 17 17 17 \n", + "República Checa 2 2 2 \n", + "Rumania 2 2 2 \n", + "Rusia 18 17 18 \n", + "Serbia 2 2 2 \n", + "Singapur Malasia 1 1 2 \n", + "Siria 2 2 2 \n", + "Sri Lanka 2 1 2 \n", + "Suecia 2 0 2 \n", + "Suiza 1 1 1 \n", + "Tailandia 3 1 3 \n", + "Taiwán 5 0 5 \n", + "Turkmenistán 1 1 1 \n", + "Turquía 10 10 10 \n", + "Ucrania 9 9 9 \n", + "Uzbekistán 1 1 1 \n", + "Vietnam 3 3 3 \n", + "Yemen 1 1 1 \n", + "\n", + "[67 rows x 7 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#3. Agrupar por numero de paises y las ciudades que aparecen en la lista\n", + "wiki3_df.groupby('País').count()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "wiki3_df.to_csv('wiki3_df2.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/API - Web Project - Miguel.ipynb b/API - Web Project - Miguel.ipynb new file mode 100644 index 0000000..687ffa9 --- /dev/null +++ b/API - Web Project - Miguel.ipynb @@ -0,0 +1,1306 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import requests as req\n", + "import json as js\n", + "import pandas as pd\n", + "from pandas.io.json import json_normalize" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#datau = req.get('http://universities.hipolabs.com/search?')\n", + "#datau = datau.json()\n", + "#dfu = pd.DataFrame(datau)\n", + "#dfu\n", + "#información muy pequeña y simple. Sin keys de autentificación" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#datauk = req.get('https://api.carbonintensity.org.uk/intensity')\n", + "#datauk_2 = datauk.json()\n", + "#type(datauk_2)\n", + "#datauk_2\n", + "#funciona bien pero debe ir cambiando los valores dentro de la URL" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'Meta Data': {'1. Information': 'Intraday (5min) open, high, low, close prices and volume',\n", + " '2. Symbol': 'MSFT',\n", + " '3. Last Refreshed': '2019-07-22 16:00:00',\n", + " '4. Interval': '5min',\n", + " '5. Output Size': 'Compact',\n", + " '6. Time Zone': 'US/Eastern'},\n", + " 'Time Series (5min)': {'2019-07-22 16:00:00': {'1. open': '138.4400',\n", + " '2. high': '138.5500',\n", + " '3. low': '138.3400',\n", + " '4. close': '138.4300',\n", + " '5. volume': '886466'},\n", + " '2019-07-22 15:55:00': {'1. open': '138.4400',\n", + " '2. high': '138.4900',\n", + " '3. low': '138.3500',\n", + " '4. close': '138.4400',\n", + " '5. volume': '321964'},\n", + " '2019-07-22 15:50:00': {'1. open': '138.3750',\n", + " '2. high': '138.4550',\n", + " '3. low': '138.3400',\n", + " '4. close': '138.4400',\n", + " '5. volume': '252689'},\n", + " '2019-07-22 15:45:00': {'1. open': '138.3600',\n", + " '2. high': '138.4700',\n", + " '3. low': '138.3350',\n", + " '4. close': '138.3850',\n", + " '5. volume': '233272'},\n", + " '2019-07-22 15:40:00': {'1. open': '138.3400',\n", + " '2. high': '138.4000',\n", + " '3. low': '138.3300',\n", + " '4. close': '138.3650',\n", + " '5. volume': '249061'},\n", + " '2019-07-22 15:35:00': {'1. open': 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2019-07-22 15:50:00138.3750138.4550138.3400138.4400252689
2019-07-22 15:45:00138.3600138.4700138.3350138.3850233272
2019-07-22 15:40:00138.3400138.4000138.3300138.3650249061
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Open PriceHighest PriceLowest PriceClose PriceVolume_Ops
2019-07-22 16:00:00138.440138.550138.340138.430886466.0
2019-07-22 15:55:00138.440138.490138.350138.440321964.0
2019-07-22 15:50:00138.375138.455138.340138.440252689.0
2019-07-22 15:45:00138.360138.470138.335138.385233272.0
2019-07-22 15:40:00138.340138.400138.330138.365249061.0
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" + ], + "text/plain": [ + " Open Price Highest Price Lowest Price Close Price \\\n", + "2019-07-22 16:00:00 138.440 138.550 138.340 138.430 \n", + "2019-07-22 15:55:00 138.440 138.490 138.350 138.440 \n", + "2019-07-22 15:50:00 138.375 138.455 138.340 138.440 \n", + "2019-07-22 15:45:00 138.360 138.470 138.335 138.385 \n", + "2019-07-22 15:40:00 138.340 138.400 138.330 138.365 \n", + "\n", + " Volume_Ops \n", + "2019-07-22 16:00:00 886466.0 \n", + "2019-07-22 15:55:00 321964.0 \n", + "2019-07-22 15:50:00 252689.0 \n", + "2019-07-22 15:45:00 233272.0 \n", + "2019-07-22 15:40:00 249061.0 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "msft_dfT2 = msft_dfT2.astype(float).round(3)\n", + "msft_dfT2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Open PriceHighest PriceLowest PriceClose PriceVolume_Ops
2019-07-22 10:10:00138.78139.19138.76139.0792631.0
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" + ], + "text/plain": [ + " Open Price Highest Price Lowest Price Close Price \\\n", + "2019-07-22 10:10:00 138.78 139.19 138.76 139.0 \n", + "\n", + " Volume_Ops \n", + "2019-07-22 10:10:00 792631.0 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "maxP = msft_dfT2['Highest Price'].max()\n", + "msft_dfT2[(msft_dfT2['Highest Price'] == maxP)]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "msft_dfT2.to_csv('msft_dfT2.csv', index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Web Scrapping - Miguel.ipynb b/Web Scrapping - Miguel.ipynb new file mode 100644 index 0000000..1485c31 --- /dev/null +++ b/Web Scrapping - Miguel.ipynb @@ -0,0 +1,3600 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import bs4\n", + "from bs4 import BeautifulSoup\n", + "import requests\n", + "import pandas\n", + "import lxml\n", + "import html5lib\n", + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "b'\\n\\n\\n\\nAnexo:Aglomeraciones urbanas m\\xc3\\xa1s pobladas del mundo - Wikipedia, la enciclopedia libre\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
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Anexo:Aglomeraciones urbanas m\\xc3\\xa1s pobladas del mundo

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De Wikipedia, la enciclopedia libre
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\\n\\t\\tIr a la navegación\\n\\t\\tIr a la búsqueda\\n\\t\\t

Este anexo contiene los listados de las aglomeraciones urbanas (megaciudades) m\\xc3\\xa1s pobladas del mundo las estimaciones publicadas por el informe de las Naciones Unidas y Demographia para el mismo a\\xc3\\xb1o 2018, y la poblaci\\xc3\\xb3n con la que contaban dichas aglomeraciones al momento de hacerse el \\xc3\\xbaltimo censo donde se encuentre disponible.\\n

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Las 100 aglomeraciones urbanas m\\xc3\\xa1s pobladas del mundo[editar]

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation[1]​\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia[2]​\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU[3]​\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo oficial\\nFecha y fuente\\n
1Cant\\xc3\\xb3nChina\"Bandera China45 600 00042 941 00045 553 00039 264 0862010\\n
2TokioJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n40 200 00038 001 00037 843 0008 945 6952020 \\n
3Shangh\\xc3\\xa1iChina\"Bandera China35 900 00029 213 00030 539 00010 558 1212010\\n
4YakartaIndonesia\"Bandera Indonesia30 600 00011 399 00030 477 00025 420 2882010\\n
5DelhiIndia\"Flag India29 400 00025 703 00024 998 00016 349 8312011\\n
6ManilaFilipinas\"Bandera Filipinas25 200 00012 946 00024 123 0001 652 1712010\\n
7Se\\xc3\\xbalCorea del Sur\"Bandera Corea del Sur24 700 00013 558 00023 480 00023 836 2722010\\n
8BombayIndia\"Flag India24 700 00021 043 00021 732 00019 617 3022011\\n
9Ciudad de M\\xc3\\xa9xicoM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico22 800 00022 452 00020 063 00020 892 7242015\\n
10Nueva YorkEstados Unidos\"Flag Estados Unidos22 400 00019 532 00020 630 00019 556 4402010\\n
11S\\xc3\\xa3o PauloBrasil\"Flag Brasil22 200 00021 066 00020 365 00019 683 9752010\\n
12El CairoEgipto\"Flag Egipto20 500 00013 123 00013 123 0007 740 0182006\\n
13Pek\\xc3\\xadnChina\"Bandera China20 400 00013 123 00013 123 00016 446 8572010\\n
14DacaBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s19 500 00017 598 00015 669 00014 543 1242011\\n
15LagosNigeria\"Bandera Nigeria18 800 00018 772 00015 600 0005 195 2471991\\n
16BangkokTailandia\"Flag Tailandia18 300 00011 084 00014 998 0008 986 2182010\\n
17Los \\xc3\\x81ngelesEstados Unidos\"Flag Estados Unidos17 800 00014 504 00015 058 00017 053 9052010\\n
18OsakaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n17 700 00020 238 00017 444 0002 665 3142010\\n
19KarachiPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n17 300 00016 618 00022 123 00021 142 6252011\\n
20Mosc\\xc3\\xbaRusia\"Flag Rusia17 200 00012 166 00016 170 00011 612 8852010\\n
21CalcutaIndia\"Flag India16 600 00014 865 00014 667 00014 057 9912011\\n
22Buenos AiresArgentina\"Flag Argentina16 300 00018 086 00014 122 00013 588 1712017\\n
23EstambulTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada15 800 00014 164 00013 287 00014 657 0002015\\n
24Teher\\xc3\\xa1nIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n15 000 00010 239 00013 532 0009 768 6772011\\n
25LondresReino Unido\"Bandera Reino Unido14 700 00010 313 00010 236 00011 140 4452011\\n
26JohannesburgoSud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica13 700 00012 613 00012 066 00010 002 0392009\\n
28TianjinChina\"Bandera China13 200 00011 210 00010 920 0009 290 2632010\\n
27R\\xc3\\xado de JaneiroBrasil\"Flag Brasil13 100 00012 902 00011 727 00011 835 7082010\\n
29LahorePakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n12 600 0008 741 00010 052 0005 143 4951998\\n
30KinsasaRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo12 000 00011 587 00011 587 0007 273 9472004\\n
31BangaloreIndia\"Flag India11 800 00010 087 0009 807 0008 520 4352011\\n
32Par\\xc3\\xadsFrancia\"Flag Francia11 400 00010 843 00010 858 0009 738 8091999\\n
33Madr\\xc3\\xa1sIndia\"Flag India11 000 0009 890 0009 714 0008 653 5212011\\n
34NagoyaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n11 500 0009 406 00010 177 0002 263 8942010\\n
35LimaPer\\xc3\\xba\"Flag Per\\xc3\\xba9 900 00010 247 00011 150 0009 789 0002007\\n
36XiamenChina\"Bandera China9 900 0005 825 00011 130 0004 273 8412018 \\n
37HyderabadIndia\"Flag India9 850 0008 942 0008 754 0007 677 0182011\\n
38Bogot\\xc3\\xa1Colombia\"Flag Colombia9 800 0008 197 0008 950 9328 950 0002017\\n
39ChengduChina\"Bandera China9 800 0007 556 00010 376 0006 316 9222010\\n
40ChicagoEstados Unidos\"Flag Estados Unidos9 750 0008 745 0009 156 0009 461 5372010\\n
41Taip\\xc3\\xa9iTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n9 100 0002 666 0007 438 000---2017\\n
42WuhanChina\"Bandera China8 850 0008 467 0008 625 0006 787 8192010\\n
43Kuala LumpurMalasia\"Bandera Malasia8 700 0005 507 0005 225 0004 656 6902002\\n
44Ciudad Ho Chi MinhVietnam\"Bandera Vietnam8 600 0007 298 0008 957 0005 880 6152009\\n
45Washington D. C.Estados Unidos\"Flag Estados Unidos8 550 0007 222 0007 152 0008 347 0032010\\n
46HangzhouChina\"Bandera China8 300 0008 467 0009 625 0006 887 8192010\\n
47AhmedabadIndia\"Flag India8 250 0007 343 0007 186 0006 357 6932011\\n
48ChongqingChina\"Bandera China8 050 00013 332 0007 217 0006 263 7902010\\n
49LuandaAngola\"Bandera Angola7 900 0005 506 0005 899 0006 377 2462014\\n
50Santiago de ChileChile\"Flag Chile7 960 0006 837 0007 288 0007 306 9442017\\n
51ShenyangChina\"Bandera China7 900 0007 613 0007 402 0007 037 0402010\\n
52San Francisco-San Jos\\xc3\\xa9Estados Unidos\"Flag Estados Unidos7 850 0005 030 0005 929 0006 172 5012010\\n
53Singapur - Johor BahruSingapur\"Bandera Singapur
Malasia\"Bandera Malasia\\n		7 800 0006 531 0007 312 0005 719 6442010 2000\\n
54RiadArabia Saudita\"Bandera Arabia Saudita7 750 0006 370 0005 666 0005 188 2862010\\n
55ShantouChina\"Bandera China7 700 0006 287 0006 337 0005 775 2392010\\n
56Boston (incluyendo Providence)Estados Unidos\"Flag Estados Unidos7 650 0005 445 0005 679 0006 153 6282010\\n
57Hong KongChina\"Bandera China7 450 0007 314 0007 246 0007 071 5762011\\n
58FiladelfiaEstados Unidos\"Flag Estados Unidos7 350 0005 585 0005 570 0005 965 3682010\\n
59TorontoCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa17 350 0005 993 0006 456 0005 583 0642011\\n
60DallasEstados Unidos\"Flag Estados Unidos7 100 0005 703 0006 174 0006 426 2102010\\n
61BagdadIrak\"Flag Irak6 850 0006 643 0006 625 0003 841 2681987\\n
62BandungIndonesia\"Bandera Indonesia6 850 0002 544 0005 695 0002 394 8732010\\n
63Xi\\'anChina\"Bandera China6 800 0006 044 0005 977 0005 206 2532010\\n
64Nank\\xc3\\xadnChina\"Bandera China6 700 0006 369 0006 155 0005 827 8882010\\n
65PuneIndia\"Flag India6 700 0005 728 0005 631 0005 057 7092011\\n
66HoustonEstados Unidos\"Flag Estados Unidos6 600 0005 636 0005 764 0005 920 4902010\\n
67MadridEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a6 450 0006 199 0006 171 0003 198 6452011\\n
68MiamiEstados Unidos\"Flag Estados Unidos6 350 0005 817 0005 764 0005 566 2992010\\n
69SuratIndia\"Flag India6 350 0005 650 0005 447 0004 591 2462011\\n
70JartumSud\\xc3\\xa1n\"Flag Sud\\xc3\\xa1n6 150 0005 126 0005 125 0004 272 7282008\\n
71Dar es-SalamTanzania\"Flag Tanzania6 150 0005 116 0004 219 0004 364 5412012\\n
72NairobiKenia\"Bandera Kenia5 950 0003 915 0004 738 0003 133 5182009\\n
73QingdaoChina\"Bandera China5 950 0004 566 0005 816 0003 990 9422010\\n
74AtlantaEstados Unidos\"Flag Estados Unidos5 800 0005 142 0005 015 0005 286 7272010\\n
75Alejandr\\xc3\\xadaEgipto\"Flag Egipto5 700 0004 778 0004 689 0004 028 0282006\\n
76Detroit - WindsorEstados Unidos\"Flag Estados Unidos
Canad\\xc3\\xa1\"Flag Canad\\xc3\\xa1\\n		5 700 0003 954 0003 947 0004 615 5592010 2011\\n
77Regi\\xc3\\xb3n del RuhrAlemania\"Flag Alemania5 700 000---------2011\\n
78San PetersburgoRusia\"Flag Rusia5 600 0004 993 0005 126 0004 879 5662010\\n
79Rang\\xc3\\xbanBirmania\"Bandera Birmania5 500 0004 802 0004 800 0004 728 5242014\\n
80Abiy\\xc3\\xa1nCosta de Marfil\"Bandera Costa de Marfil5 450 0004 860 0004 800 0004 395 2432014\\n
81Am\\xc3\\xa1nJordania\"Bandera Jordania5 450 0004 778 0004 689 0004 028 0282015\\n
82ZhengzhouChina\"Bandera China5 350 0004 387 0004 942 0003 677 0322010\\n
83GuadalajaraM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico5 250 0004 843 0004 603 0004 495 1822010\\n
84WenzhouChina\"Bandera China5 250 0003 208 0004 303 0003 614 2082010\\n
85Mil\\xc3\\xa1nItalia\"Flag Italia5 200 0003 099 0005 257 0001 242 1232011\\n
86S\\xc3\\xaddneyAustralia\"Flag Australia5 200 0004 505 0004 036 0004 028 5252011\\n
86HarbinChina\"Bandera China5 150 0005 457 0004 815 0004 596 3132010\\n
88Colonia - D\\xc3\\xbcsseldorfAlemania\"Flag Alemania5 000 0001 640 0008 783 0001 591 8662011\\n
89AnkaraTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada4 975 0004 750 0004 538 0003 203 3622000\\n
90Belo HorizonteBrasil\"Flag Brasil4 975 0005 716 0004 517 0005 414 7012010\\n
91AcraGhana\"Bandera Ghana4 950 0002 277 0004 145 0002 070 4632010\\n
92MonterreyM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico4 925 0004 513 0004 083 0001 1355122010\\n
93DubaiEmiratos \\xc3\\x81rabes Unidos\"Flag Emiratos \\xc3\\x81rabes Unidos4 900 0004 161 0004 000 0003 900 3902016\\n
94MelbourneAustralia\"Flag Australia4 850 0005 258 0004 693 0001 611 0132010\\n
95ChittagongBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s4 825 0004 539 0003 176 0004 009 4232011\\n
96HefeiChina\"Bandera China4 825 0003 348 0003 665 0003 098 7272010\\n
97JeddahArabia Saudita\"Bandera Arabia Saudita4 775 0004 161 0004 000 0003 900 3902010\\n
98Berl\\xc3\\xadnAlemania\"Flag Alemania4 750 0003 563 0004 069 0003 292 3652011\\n
99ChangshaChina\"Bandera China4 750 000707 0002 180 000561 3142012\\n
100BarcelonaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a4 725 0005 258 0004 693 0001 611 0132011\\n
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Las mayores aglomeraciones urbanas de \\xc3\\x81frica[editar]

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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
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Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en \\xc3\\x81frica seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
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\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1LagosNigeria\"Bandera Nigeria17.100.00013.123.00013.123.0005.195.2471991\\n
2El CairoEgipto\"Flag Egipto16.800.00018.772.00015.600.0007.740.018[n 1]​2006\\n
3Johannesburgo (incl. Pretoria - Vereeniging)Sud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica13.400.00012.613.000[n 2]​12.066.000[n 3]​10.002.039[n 4]​2009\\n
4KinsasaRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo10.600.00011.587.00011.587.0007.273.9472004\\n
5CasablancaMarruecos\"Bandera Marruecos10.150.0005.506.0005.899.0006.377.2462014\\n
6JartumSud\\xc3\\xa1n\"Flag Sud\\xc3\\xa1n5.550.0005.126.0005.125.0004.272.7282008\\n
7Dar es-SalamTanzania\"Flag Tanzania5.300.0005.116.0004.219.0004.364.5412012\\n
8Alejandr\\xc3\\xadaEgipto\"Flag Egipto5.150.0004.778.0004.689.0004.028.0282006\\n
9NairobiKenia\"Bandera Kenia5.200.0003.915.0004.738.0003.133.5182009\\n
10Abiy\\xc3\\xa1nCosta de Marfil\"Bandera Costa de Marfil5.050.0004.860.0004.800.0004.395.2432014\\n
11AcraGhana\"Bandera Ghana4.575.0002.277.0004.145.0002.070.463[n 1]​2010\\n
12LuandaAngola\"Bandera Angola4.175.0003.515.0003.211.0003.359.8182014\\n
13Ciudad del CaboSud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica4.125.0003.660.0003.812.0003.430.9922009\\n
14KanoNigeria\"Bandera Nigeria4.125.0003.587.0003.555.0002.166.5541991\\n
15ArgelArgelia\"Bandera Argelia3.675.0002.594.0002.590.0002.364.230[n 1]​2008\\n
16Ad\\xc3\\xads AbebaEtiop\\xc3\\xada\"Bandera Etiop\\xc3\\xada3.475.0003.238.0003.376.0002.739.5512007\\n
17DakarSenegal\"Bandera Senegal3.300.0003.520.0003.520.0003.026.3162013\\n
18DurbanSud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica3.225.0002.901.0003.421.0002.786.0462009\\n
19Ibad\\xc3\\xa1nNigeria\"Bandera Nigeria3.150.0003.375.0003.160.0001.835.3001991\\n
20KampalaUganda\"Bandera Uganda3.025.0001.936.0001.930.0001.516.210[n 1]​2014\\n
21BamakoMal\\xc3\\xad\"Bandera Mal\\xc3\\xad2.950.0002.515.0002.500.0001.810.3662009\\n
22DualaCamer\\xc3\\xban\"Bandera Camer\\xc3\\xban2.825.0002.943.0002.940.0001.906.9622005\\n
23AbuyaNigeria\"Bandera Nigeria2.825.0002.440.0002.440.000107.0691991\\n
24Yaund\\xc3\\xa9Camer\\xc3\\xban\"Bandera Camer\\xc3\\xban2.725.0003.066.0003.060.0001.817.5242005\\n
25KumasiGhana\"Bandera Ghana2.675.0002.599.0002.500.0002.035.0642010\\n
26T\\xc3\\xbanezT\\xc3\\xbanez\"Bandera T\\xc3\\xbanez2.500.0001.993.0001.990.0002.359.7212014\\n
27HarareZimbabue\"Bandera Zimbabue2.325.0001.501.0002.203.0001.485.2312012\\n
28LusakaZambia\"Flag Zambia2.275.0002.179.0002.190.0001.747.1522010\\n
29AntananarivoMadagascar\"Bandera Madagascar2.225.0002.610.0002.398.000710.2361993\\n
30ConakriGuinea\"Bandera Guinea2.225.0001.936.0001.930.0001.667.8642014\\n
31MaputoMozambique\"Bandera Mozambique2.200.0001.187.0002.615.0001.094.628[n 1]​2007\\n
32Uagadug\\xc3\\xbaBurkina Faso\"Bandera Burkina Faso2.100.0002.741.0002.700.0001.475.2232006\\n
33Port HarcourtNigeria\"Bandera Nigeria2.075.0002.343.0002.340.000703.4211991\\n
34RabatMarruecos\"Bandera Marruecos1.920.0001.967.0001.845.000577.827[n 1]​2014\\n
35BrazzavilleRep\\xc3\\xbablica del Congo\"Bandera Rep\\xc3\\xbablica del Congo1.900.0001.888.0001.850.0001.373.3822007\\n
36LubumbashiRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo1.870.0002.015.0002.000.0001.273.3802004\\n
37Mbuji-MayiRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo1.860.0002.007.0002.000.0001.213.7262004\\n
38Lom\\xc3\\xa9Togo\"Flag Togo1.820.000956.0001.941.0001.477.6582010\\n
39MogadiscioSomalia\"Flag Somalia1.720.0002.138.0002.120.000\\n
40KadunaNigeria\"Bandera Nigeria1.680.0001.048.0001.020.000993.6421991\\n
41Coton\\xc3\\xbaBen\\xc3\\xadn\"Bandera Ben\\xc3\\xadn1.600.000682.000871.000679.012[n 1]​2013\\n
42Benin CityNigeria\"Bandera Nigeria1.480.0001.496.0001.490.000762.7191991\\n
43FreetownSierra Leona\"Bandera Sierra Leona1.440.0001.007.0001.000.000772.8732004\\n
44MonroviaLiberia\"Bandera Liberia1.340.0001.264.0001.100.0001.021.7622008\\n
45Or\\xc3\\xa1nArgelia\"Bandera Argelia1.340.000858.000850.000803.3292008\\n
46YamenaChad\"Flag Chad1.210.0001.260.0001.260.000951.4182009\\n
47Port ElizabethSud\\xc3\\xa1frica\"Flag Sud\\xc3\\xa1frica1.210.0001.179.0001.212.000876.4362011\\n
48FezMarruecos\"Bandera Marruecos1.200.0001.172.0001.193.0001.120.0722014\\n
49MombasaKenia\"Bandera Kenia1.120.0001.104.0001.116.000915.1012009\\n
50NiameyN\\xc3\\xadger\"Bandera N\\xc3\\xadger1.120.0001.090.0001.090.000978.0292012\\n
51Tr\\xc3\\xadpoliLibia\"Bandera Libia1.110.0001.126.0001.110.000591.0621984\\n
52AgadirMarruecos\"Bandera Marruecos1.090.000590.000608.000421.844[n 1]​2014\\n
53OnitshaNigeria\"Bandera Nigeria1.070.0001.109.0001.100.000350.2801991\\n
54Lilong\\xc3\\xbceMalaui\"Bandera Malaui1.070.000905.000900.000674.4482008\\n
55MarrakechMarruecos\"Bandera Marruecos1.060.0001.134.0001.173.000928.8502014\\n
56NuakchotMauritania\"Bandera Mauritania1.060.000968.000950.000958.3992013\\n
57BanguiRep\\xc3\\xbablica Centroafricana\"Bandera Rep\\xc3\\xbablica Centroafricana1.060.000794.000790.000622.7712003\\n
58MaiduguriNigeria\"Bandera Nigeria1.060.000728.000925.000618.2781991\\n
59AbaNigeria\"Bandera Nigeria1.040.000944.000940.000500.1831991\\n
60SusaT\\xc3\\xbanez\"Bandera T\\xc3\\xbanez1.040.000------978.9682014\\n
61KigaliRuanda\"Flag Ruanda1.000.0001.257.0001.121.000859.3322012\\n
62HuamboAngola\"Bandera Angola---1.269.0001.260.00061.8851970\\n
63KanangaRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo---1.169.0001.150.000720.3622004\\n
64KisanganiRep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo\"Bandera Rep\\xc3\\xbablica Democr\\xc3\\xa1tica del Congo---1.040.0001.000.000682.5992004\\n
65Zaria Nigeria\"Bandera Nigeria---703.0001.025.000612.2571991\\n
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Las mayores aglomeraciones urbanas de Am\\xc3\\xa9rica[editar]

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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
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Las 50 mayores aglomeraciones urbanas del continente americano:\\n
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\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Ciudad de M\\xc3\\xa9xicoM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico22.300.000\\n22.452.00022.063.00020.555.2722010\\n
2Nueva YorkEstados Unidos\"Flag Estados Unidos22.200.00021.900.00020.630.00019.556.440\\n

2010\\n

\\n
3S\\xc3\\xa3o PauloBrasil\"Flag Brasil21.900.00021.600.00020.365.00019.683.9752010\\n
4Los \\xc3\\x81ngeles (incluyendo Riverside y San Bernardino)Estados Unidos\"Flag Estados Unidos17.600.00014.504.00015.058.00017.053.9052010\\n
5Buenos AiresArgentina\"Flag Argentina15.800.00015.180.00014.122.00013.588.1712010\\n
6R\\xc3\\xado de JaneiroBrasil\"Flag Brasil12.700.00012.902.00011.727.00011.835.7082010\\n
7LimaPer\\xc3\\xba\"Flag Per\\xc3\\xba10.300.00010.600.00010.500.0008.324.5102007\\n
8ChicagoEstados Unidos\"Flag Estados Unidos9.800.0008.745.0009.156.0009.461.5372010\\n
9Bogot\\xc3\\xa1 (incl. Ch\\xc3\\xada - Soacha - Mosquera - La Calera - Funza - Madrid)Colombia\"Flag Colombia9.550.0008.197.0008.950.0006.472.9352005\\n
10Washington D. C. (incluyendo Baltimore)Estados Unidos\"Flag Estados Unidos8.350.0007.222.0007.152.0008.347.0032010\\n
11San Francisco (incluyendo San Jos\\xc3\\xa9)Estados Unidos\"Flag Estados Unidos7.600.0005.030.0005.929.0006.172.5012010\\n
12Boston (incluyendo Providence)Estados Unidos\"Flag Estados Unidos7.350.0005.445.0005.679.0006.153.6282010\\n
13FiladelfiaEstados Unidos\"Flag Estados Unidos7.300.0005.585.0005.570.0005.965.3682010\\n
14Santiago de ChileChile\"Flag Chile7.150.0005.703.0006.174.0006.426.2102010\\n
15TorontoCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa17.100.0005.993.0006.456.0005.583.0642011\\n
16HoustonEstados Unidos\"Flag Estados Unidos6.200.0005.636.0005.764.0005.920.4902010\\n
17MiamiEstados Unidos\"Flag Estados Unidos6.100.0005.817.0005.764.0005.566.2992010\\n
18DallasEstados Unidos\"Flag Estados Unidos5.985.0005.507.0005.225.0004.656.6902002\\n
19Detroit - WindsorEstados Unidos\"Flag Estados Unidos
Canad\\xc3\\xa1\"Flag Canad\\xc3\\xa1\\n		5.700.0003.954.0003.947.0004.615.5592010 2011\\n
20CaracasVenezuela\"Flag Venezuela5.690.0004.513.0004.083.0002.904.3762011\\n
21AtlantaEstados Unidos\"Flag Estados Unidos5.500.0005.142.0005.015.0005.286.7272010\\n
22GuadalajaraM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico5.007 7564.843.0004.603.0004.495.1822010\\n
23Belo HorizonteBrasil\"Flag Brasil4.925.0005.716.0004.517.0005.414.7012010\\n
24MonterreyM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico4.456.0004.810.0004.513.0001.135.5122010\\n
24PhoenixEstados Unidos\"Flag Estados Unidos4.325.0004.063.0004.194.0004.193.1272010\\n
25MontrealCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa14.100.0003.981.0003.536.0003.824.2212011\\n
26Porto AlegreBrasil\"Flag Brasil4.075.0003.603.0003.413.0003.958.9852010\\n
27SeattleEstados Unidos\"Flag Estados Unidos4.075.0003.249.0003.218.0003.439.8152010\\n
28TampaEstados Unidos\"Flag Estados Unidos4.025.0002.659.0002.621.0002.783.5142010\\n
29BrasiliaBrasil\"Flag Brasil3.925.0004.155.0002.536.0003.717.7282010\\n
30Medell\\xc3\\xadnColombia\"Flag Colombia3.900.0003.911.0003.568.0002.175.6812005\\n
31RecifeBrasil\"Flag Brasil3.775.0003.739.0003.347.0003.690.5472010\\n
32Salvador de Bah\\xc3\\xadaBrasil\"Flag Brasil3.650.0003.583.0003.190.0003.573.9732010\\n
33Santo DomingoRep\\xc3\\xbablica Dominicana\"Flag Rep\\xc3\\xbablica Dominicana3.650.0002.945.0002.925.0002.581.8272010\\n
34FortalezaBrasil\"Flag Brasil3.575.0003.880.0003.401.0003.615.7672010\\n
35DenverEstados Unidos\"Flag Estados Unidos3.525.0002.599.0002.559.0002.543.5942010\\n
36MaracaiboVenezuela\"Flag Venezuela3.400.0002.916.0002.861.0002.904.3762011\\n
37CuritibaBrasil\"Flag Brasil3.275.0003.474.0003.102.0003.174.2012010\\n
38San DiegoEstados Unidos\"Flag Estados Unidos3.275.0003.107.0003.086.0003.095.3082010\\n
39CaliColombia\"Flag Colombia3.250.0002.646.0002.357.0002.083.1712005\\n
40ClevelandEstados Unidos\"Flag Estados Unidos3.075.0001.773.0001.783.0002.077.2462010\\n
41OrlandoEstados Unidos\"Flag Estados Unidos3.075.0001.731.0002.040.0002.134.4182010\\n
42CampinasBrasil\"Flag Brasil3.050.0003.047.0002.645.0002.797.1372010\\n
43MinneapolisEstados Unidos\"Flag Estados Unidos3.050.0002.791.0002.771.0003.348.8572010\\n
44Ciudad de GuatemalaGuatemala\"Flag Guatemala3.000.0002.918.0001.289.000942.3482002\\n
45GuayaquilEcuador\"Flag Ecuador3.000.0002.709.0002.700.0002.278.6912010\\n
46Puebla de ZaragozaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico2.975.0002.984.0002.088.0001.434.0622010\\n
47Puerto Pr\\xc3\\xadncipeHait\\xc3\\xad\"Bandera Hait\\xc3\\xad2.850.0002.440.0002.440.000703.0232003\\n
48CincinnatiEstados Unidos\"Flag Estados Unidos2.725.0001.688.0001.682.0002.114.7552010\\n
49QuitoEcuador\"Flag Ecuador2.550.0001.726.0001.720.0001.607.7342010\\n
50VancouverCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa12.500.0002.485.0002.273.0002.313.3282011\\n
51\\nBarranquilla\\nColombia\"Flag Colombia\\n2.450.000\\n1.500.000\\n1.218.000\\n1.967.000\\n2005\\n
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Las mayores aglomeraciones urbanas de Am\\xc3\\xa9rica del Norte[editar]

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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Am\\xc3\\xa9rica del Norte seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Ciudad de M\\xc3\\xa9xico (incluyendo la zona metropolitana del valle de M\\xc3\\xa9xico)M\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico22.100.00022.452.00020.063.0008.555.272[n 1]​2010\\n
2Nueva YorkEstados Unidos\"Flag Estados Unidos22.000.00019.532.00020.630.00019.556.440\\n

2010\\n

\\n
3Los \\xc3\\x81ngeles (incluyendo Riverside y San Bernardino)Estados Unidos\"Flag Estados Unidos17.600.00014.504.000[n 2]​15.058.000[n 3]​17.053.905[n 4]​2010\\n
4ChicagoEstados Unidos\"Flag Estados Unidos9.800.0008.745.0009.156.0009.461.5372010\\n
5Washington D. C. (incluyendo Baltimore)Estados Unidos\"Flag Estados Unidos8.350.0007.222.000[n 2]​7.152.000[n 3]​8.347.003[n 4]​2010\\n
6San Francisco (incluyendo San Jos\\xc3\\xa9)Estados Unidos\"Flag Estados Unidos7.600.0005.030.000 [n 2]​5.929.0006.172.501[n 4]​2010\\n
7Boston (incluyendo Providence)Estados Unidos\"Flag Estados Unidos7.350.0005.445.000[n 2]​5.679.000[n 3]​6.153.628[n 4]​2010\\n
8FiladelfiaEstados Unidos\"Flag Estados Unidos7.300.0005.585.0005.570.0005.965.3682010\\n
9TorontoCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa17.100.0005.993.0006.456.0005.583.0642011\\n
10DallasEstados Unidos\"Flag Estados Unidos6.550.0005.703.0006.174.0006.426.2102010\\n
11HoustonEstados Unidos\"Flag Estados Unidos6.200.0005.636.0005.764.0005.920.4902010\\n
12MiamiEstados Unidos\"Flag Estados Unidos6.100.0005.817.0005.764.0005.566.2992010\\n
13Detroit - WindsorEstados Unidos\"Flag Estados Unidos
Canad\\xc3\\xa1\"Flag Canad\\xc3\\xa1\\n		5.700.0003.954.000[n 2]​3.947.000[n 3]​4.615.559[n 4]​2010 2011\\n
14AtlantaEstados Unidos\"Flag Estados Unidos5.500.0005.142.0005.015.0005.286.7272010\\n
15GuadalajaraM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico4.975.0004.843.0004.603.0001.495.182[n 1]​2010\\n
16MonterreyM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico4.650.0004.513.0004.083.0001.135.512[n 1]​2010\\n
17PhoenixEstados Unidos\"Flag Estados Unidos4.325.0004.063.0004.194.0004.193.1272010\\n
18MontrealCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa14.100.0003.981.0003.536.0003.824.2212011\\n
19SeattleEstados Unidos\"Flag Estados Unidos4.075.0003.249.0003.218.0003.439.8152010\\n
20TampaEstados Unidos\"Flag Estados Unidos4.025.0002.659.0002.621.0002.783.5142010\\n
21DenverEstados Unidos\"Flag Estados Unidos3.525.0002.599.0002.559.0002.543.5942010\\n
22San DiegoEstados Unidos\"Flag Estados Unidos3.275.0003.107.0003.086.0003.095.3082010\\n
23ClevelandEstados Unidos\"Flag Estados Unidos3.075.0001.773.0001.783.0002.077.2462010\\n
24OrlandoEstados Unidos\"Flag Estados Unidos3.075.0001.731.0002.040.0002.134.4182010\\n
25MinneapolisEstados Unidos\"Flag Estados Unidos3.050.0002.791.0002.771.0003.348.8572010\\n
26Puebla de ZaragozaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico2.975.0002.984.0002.088.0001.434.062[n 1]​2010\\n
27CincinnatiEstados Unidos\"Flag Estados Unidos2.725.0001.688.0001.682.0002.114.7552010\\n
28VancouverCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa12.500.0002.485.0002.273.0002.313.3282011\\n
29Saint LouisEstados Unidos\"Flag Estados Unidos2.350.0002.184.0002.186.0002.787.7522010\\n
30Salt Lake CityEstados Unidos\"Flag Estados Unidos2.300.0001.096.0001.085.0001.087.8732010\\n
31PortlandEstados Unidos\"Flag Estados Unidos2.275.0002.001.0001.976.0002.226.0112010\\n
32CharlotteEstados Unidos\"Flag Estados Unidos2.275.0001.616.0001.535.0002.217.2482010\\n
33Toluca de LerdoM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico2.150.0002.164.0001.878.000489.333[n 1]​2010\\n
34Las VegasEstados Unidos\"Flag Estados Unidos2.075.0002.270.0002.191.0001.951.2692010\\n
35PittsburghEstados Unidos\"Flag Estados Unidos2.075.0001.719.0001.730.0002.356.2852010\\n
36San AntonioEstados Unidos\"Flag Estados Unidos2.050.0002.030.0001.976.0002.142.5182010\\n
37SacramentoEstados Unidos\"Flag Estados Unidos1.980.0001.920.0001.885.0002.149.1432010\\n
38Kansas CityEstados Unidos\"Flag Estados Unidos1.920.0001.604.0001.593.0002.009.3382010\\n
39Indian\\xc3\\xa1polisEstados Unidos\"Flag Estados Unidos1.910.0001.646.0001.617.0001.888.0822010\\n
40TijuanaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.880.0001.987.0001.968.0001.300.983[n 1]​2010\\n
41Le\\xc3\\xb3nM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.800.0001.807.0001.469.0001.238.962[n 1]​2010\\n
42AustinEstados Unidos\"Flag Estados Unidos1.740.0001.684.0001.616.0001.716.3032010\\n
43HartfordEstados Unidos\"Flag Estados Unidos1.700.000963.000960.0001.212.3872010\\n
44ColumbusEstados Unidos\"Flag Estados Unidos1.640.0001.505.0001.481.0001.902.0152010\\n
45Virginia BeachEstados Unidos\"Flag Estados Unidos1.610.0001.460.0001.463.0001.676.8172010\\n
46MilwaukeeEstados Unidos\"Flag Estados Unidos1.540.0001.409.0001.408.0001.555.9542010\\n
47RaleighEstados Unidos\"Flag Estados Unidos1.524.0001.140.0001.085.0001.130.4902010\\n
48Ciudad Ju\\xc3\\xa1rezM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.513.0001.440.0001.391.0001.321.004[n 1]​2010\\n
49CalgaryCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa11.470.0001.397.0001.189.0001.214.8392011\\n
50B\\xc3\\xbafalo - St. CatharinesEstados Unidos\"Flag Estados Unidos
Canad\\xc3\\xa1\"Flag Canad\\xc3\\xa1\\n		1.450.0001.396.000 [n 2]​1.232.000 [n 3]​1.527.725 [n 4]​2010 2011\\n
51NashvilleEstados Unidos\"Flag Estados Unidos1.430.0001.255.0001.081.0001.670.9002010\\n
52JacksonvilleEstados Unidos\"Flag Estados Unidos1.390.0001.272.0001.154.0001.345.5962010\\n
53Torre\\xc3\\xb3nM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.373.0001.332.0001.327.000608.836[n 1]​2010\\n
54HarrisburgEstados Unidos\"Flag Estados Unidos1.370.000493.000484.000549.4732010\\n
55Santiago de Quer\\xc3\\xa9taroM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.280.0001.267.0001.249.000626.495[n 1]​2010\\n
56EdmontonCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa11.270.0001.272.0001.040.0001.159.8692011\\n
57McAllenEstados Unidos\"Flag Estados Unidos1.270.000864.000838.000774.7732010\\n
58StocktonEstados Unidos\"Flag Estados Unidos1.200.000403.000371.000685.3082010\\n
59OttawaCanad\\xc3\\xa1\"Flag Canad\\xc3\\xa11.180.0001.326.000994.0001.236.3242011\\n
60San Luis Potos\\xc3\\xadM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.150.0001.147.0001.137.000722.772[n 1]​2010\\n
61MemphisEstados Unidos\"Flag Estados Unidos1.150.0001.106.0001.102.0001.324.8292010\\n
62MelbourneEstados Unidos\"Flag Estados Unidos1.110.000486.000482.000543.3782010\\n
63Oklahoma CityEstados Unidos\"Flag Estados Unidos1.090.000926.000917.0001.252.9922010\\n
64GreensboroEstados Unidos\"Flag Estados Unidos1.090.000337.000334.000723.7982010\\n
65M\\xc3\\xa9ridaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.070.0001.068.0001.111.000777.615[n 1]​2010\\n
66AguascalientesM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.060.0001.031.0001.020.000722.250[n 1]​2010\\n
67LouisvilleEstados Unidos\"Flag Estados Unidos1.040.0001.032.0001.025.0001.235.7102010\\n
68RichmondEstados Unidos\"Flag Estados Unidos1.030.0001.030.0001.018.0001.208.0802010\\n
69El PasoEstados Unidos\"Flag Estados Unidos1.020.000877.000865.000804.1232010\\n
70MexicaliM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.010.0001.034.0001.018.000689.775[n 1]​2010\\n
71Nueva OrleansEstados Unidos\"Flag Estados Unidos1.010.000921.000922.0001.189.8632010\\n
72CuernavacaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.010.000993.000990.000338.650[n 1]​2010\\n
73ChihuahuaM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico1.002.000941.000940.000809.2322010\\n
74SaltilloM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico994.000932.000917.000709.6712010\\n
75AcapulcoM\\xc3\\xa9xico\"Flag M\\xc3\\xa9xico977.000920.000812.000297.284 [n 1]​2010\\n
\\n

Las mayores aglomeraciones urbanas de Am\\xc3\\xa9rica Central y del Caribe[editar]

\\n\\n\\n\\n\\n\\n
\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Am\\xc3\\xa9rica Central y del Caribe, seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Santo DomingoRep\\xc3\\xbablica Dominicana\"Flag Rep\\xc3\\xbablica Dominicana3.650.0002.945.0002.925.0002.581.827[n 1]​2010\\n
2Ciudad de GuatemalaGuatemala\"Flag Guatemala3.000.0002.918.0001.289.000942.348[n 1]​2002\\n
3Puerto Pr\\xc3\\xadncipeHait\\xc3\\xad\"Bandera Hait\\xc3\\xad2.850.0002.440.0002.440.000703.023[n 1]​2003\\n
4La HabanaCuba\"Flag Cuba2.225.0002.137.0002.130.0002.106.1462012\\n
5San JuanPuerto Rico\"Bandera Puerto Rico2.150.0002.463.0002.139.0002.350.3062010\\n
6San Jos\\xc3\\xa9Costa Rica\"Flag Costa Rica1.840.0001.170.0001.170.000\\n
7San SalvadorEl Salvador\"Bandera El Salvador1.820.0001.098.0001.100.000316.090[n 1]​2007\\n
8Panam\\xc3\\xa1Panam\\xc3\\xa1\"Flag Panam\\xc3\\xa11.460.0001.673.0001.498.000430.299[n 1]​2010\\n
9ManaguaNicaragua\"Flag Nicaragua1.340.000956.000980.000908.8922005\\n
10San Pedro SulaHonduras\"Real Honduras1.110.000852.000---483.3842001\\n
11TegucigalpaHonduras\"Real Honduras1.090.0001.123.0001.120.000819.8672001\\n
\\n

Las mayores aglomeraciones urbanas de Am\\xc3\\xa9rica del Sur[editar]

\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Am\\xc3\\xa9rica del Sur, seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2016)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1S\\xc3\\xa3o PauloBrasil\"Flag Brasil21.800.00021.066.00020.365.00019.683.9752010\\n
2Buenos AiresArgentina\"Flag Argentina15.800.00015.180.00014.122.00013.588.1712010\\n
3R\\xc3\\xado de JaneiroBrasil\"Flag Brasil12.700.00012.902.00011.727.00011.835.7082010\\n
4Lima (incluyendo Callao)Per\\xc3\\xba\"Flag Per\\xc3\\xba10.300.00010.247.00010.950.0008.472.9352007\\n
Bogot\\xc3\\xa1Colombia\"Flag Colombia9.550.0009.005.0009.500.0006.324.5102005\\n
6Santiago de ChileChile\"Flag Chile7.150.0006.507.0006.225.0004.628.5902002\\n
7CaracasVenezuela\"Flag Venezuela5.690.0002.916.0002.861.0002.904.3762011\\n
8Belo HorizonteBrasil\"Flag Brasil4.925.0005.716.0004.517.0005.414.7012010\\n
9Medell\\xc3\\xadnColombia\"Flag Colombia4.525.0003.911.0003.568.0002.175.6812005\\n
10Porto AlegreBrasil\"Flag Brasil4.175.0003.603.0003.413.0003.958.9852010\\n
11BrasiliaBrasil\"Flag Brasil4.125.0004.155.0002.536.0003.717.7282010\\n
12RecifeBrasil\"Flag Brasil4.105.0003.739.0003.347.0003.690.5472010\\n
13Salvador de Bah\\xc3\\xadaBrasil\"Flag Brasil4.091.0003.583.0003.190.0003.573.9732010\\n
14FortalezaBrasil\"Flag Brasil4.089.0003.880.0003.401.0003.615.7672010\\n
15MaracaiboVenezuela\"Flag Venezuela4.083.0002.196.0002.037.0001.878.7702011\\n
16GuayaquilEcuador\"Flag Ecuador4.081.0002.709.0002.700.0002.278.6912010\\n
17CuritibaBrasil\"Flag Brasil4.072.0003.474.0003.350.0003.174.2012010\\n
18CaliColombia\"Flag Colombia4.061.0002.656.0002.557.0002.089.171\\n
19CampinasBrasil\"Flag Brasil3.550.0003.047.0002.645.0002.797.1372010\\n
20QuitoEcuador\"Flag Ecuador3.005.0001.726.0001.720.0001.607.7342010\\n
21BarranquillaColombia\"Flag Colombia2.450.0001.991.0001.748.0001.142.3122005\\n
22Goi\\xc3\\xa2niaBrasil\"Flag Brasil2.250.0002.285.0002.117.0002.173.1412010\\n
23Asunci\\xc3\\xb3nParaguay\"Flag Paraguay2.200.0002.356.0002.827.0001.659.5012002\\n
24Bel\\xc3\\xa9mBrasil\"Flag Brasil2.150.0002.182.0001.979.9002.101.8832010\\n
25ValenciaVenezuela\"Flag Venezuela2.120.0001.734.0001.477.0001.378.9582011\\n
26ManaosBrasil\"Flag Brasil2.075.0002.025.0001.893.0002.106.3222010\\n
27\\nBarquisimeto\\n\"Bandera Venezuela\\n2.200.457\\n1.997.770\\n1.972.233\\n1.408.733\\n2015\\n
28La PazBolivia\"Flag Bolivia1.890.0001.816.0001.907.000758.845[n 1]​2012\\n
29Santa CruzBolivia\"Flag Bolivia1.860.0002.107.0002.110.0001.442.396[n 1]​2012\\n
30MontevideoUruguay\"Flag Uruguay1.830.0001.707.0001.700.0001.304.6872011\\n
31Vit\\xc3\\xb3riaBrasil\"Flag Brasil1.790.0001.636.0001.172.0001.687.7042010\\n
32BucaramangaColombia\"Flag Colombia1.726.0001.215.0001.029.000509.2162017\\n
33SantosBrasil\"Flag Brasil1.690.0001.539.0001.653.0001.664.1362010\\n
34Gran C\\xc3\\xb3rdobaArgentina\"Flag Argentina1.620.0001.511.0001.585.0001.453.8652010\\n
35CartagenaColombia\"Flag Colombia1.616.8091.104.6451.001.045852.2282005\\n
36S\\xc3\\xa3o Lu\\xc3\\xadsBrasil\"Flag Brasil1.500.0001.437.0001.171.0001.331.0042010\\n
37NatalBrasil\"Flag Brasil1.370.0001.167.0001.064.0001.351.0042010\\n
38MaracayVenezuela\"Flag Venezuela1.370.0001.166.0001.135.000401.294[n 1]​2011\\n
39Gran RosarioArgentina\"Flag Argentina1.350.0001.381.0001.338.0001.236.0892010\\n
40CochabambaBolivia\"Flag Bolivia1.200.0001.240.0001.238.000632.013[n 1]​2012\\n
41Gran San Miguel de Tucum\\xc3\\xa1nArgentina\"Flag Argentina---1.195.672920.000797.3272010\\n
42Macei\\xc3\\xb3Brasil\"Flag Brasil1.110.0001.266.000977.0001.156.3642010\\n
43Jo\\xc3\\xa3o PessoaBrasil\"Flag Brasil1.110.0001.093.0001.052.0001.198.5762010\\n
44ArequipaPer\\xc3\\xba\"Flag Per\\xc3\\xba1.080.6531.080.6531.080.6531.080.6532007\\n
45Gran MendozaArgentina\"Flag Argentina1.050.0001.009.000997.000937.1542010\\n
46ConcepcionChile\"Flag Chile1.001.285907.000872.000951.3112002\\n
47TeresinaBrasil\"Flag Brasil1.010.000959.000950.0001.150.9592010\\n
48TrujilloPer\\xc3\\xba\"Flag Per\\xc3\\xba970 000970 000970 000970 0002005\\n
49\\nGran Valparaiso\\nChile\\n956.000\\n
50Gran La PlataArgentina\"Flag Argentina---834.000---787.2942010\\n
51PereiraColombia\"Flag Colombia711.034709.338552.000587.4122005\\n
52Ibagu\\xc3\\xa9Colombia\"Flag Colombia665.504656.504650.000523.8932005\\n
53Mar del PlataArgentina\"Flag Argentina---635.000635.000787.2942010\\n
54ChiclayoPer\\xc3\\xba\"Flag Per\\xc3\\xba618 233618 233618 233618 2332005\\n
\\n

Las mayores aglomeraciones urbanas de Asia[editar]

\\n\\n\\n\\n\\n\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las 50 mayores aglomeraciones urbanas del continente asi\\xc3\\xa1tico.\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Cant\\xc3\\xb3n (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)China\"Bandera China46.900.00042.941.00045.553.00039.264.0862010\\n
2TokioJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n39.500.00038.001.00037.843.0008.945.6952010\\n
3Shangh\\xc3\\xa1i (incl. Suzhou, Kunshan)China\"Bandera China30.400.00029.213.00030.477.00025.420.2882010\\n
4Yakarta (incluyendo Bogor)Indonesia\"Bandera Indonesia30.100.00011.399.00030.539.00010.558.1212010\\n
5DelhiIndia\"Flag India28.400.00025.703.00024.998.00016.349.8312011\\n
6KarachiPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n25.300.00016.618.00022.123.00021.142.6252011\\n
7ManilaFilipinas\"Bandera Filipinas24.600.00012.946.00024.123.0001.652.1712010\\n
8Bombay (incluyendo Kalyan y Vasai-Virar)India\"Flag India24.300.00021.043.00021.732.00019.617.3022011\\n
9Se\\xc3\\xbal (incluyendo Incheon y Suwon)Corea del Sur\"Bandera Corea del Sur24.100.00010.558.00023.480.00023.836.2722010\\n
10DacaBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s22.300.00017.598.00015.669.00014.543.1242011\\n
11Pek\\xc3\\xadnChina\"Bandera China20.700.00020.384.00021.009.00016.446.8572010\\n
12OsakaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n19.800.00020.238.00017.444.0002.665.3142010\\n
13Bangkok (incluyendo Samut Prakan)Tailandia\"Flag Tailandia16.700.00011.084.00014.998.0008.986.2182010\\n
14CalcutaIndia\"Flag India15.900.00014.865.00014.667.00014.057.9912011\\n
15Teher\\xc3\\xa1n (incluyendo Karaj)Ir\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n13.600.00010.239.00013.532.0009.768.6772011\\n
16TianjinChina\"Bandera China11.200.00011.210.00010.920.0009.290.2632010\\n
17NagoyaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n10.400.0009.406.00010.177.0002.263.8942010\\n
18BangaloreIndia\"Flag India10.300.00010.087.0009.807.0008.520.4352011\\n
19LahorePakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n9.950.0008.741.00010.052.0005.143.4951998\\n
20Madr\\xc3\\xa1sIndia\"Flag India9.900.0009.890.0009.714.0008.653.5212011\\n
21Xiamen (incluyendl Quanzhou)China\"Bandera China9.850.0005.825.00011.130.0004.273.8412010\\n
22ChengduChina\"Bandera China9.400.0007.556.00010.376.0006.316.9222010\\n
23Taip\\xc3\\xa9iTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n9.000.0002.666.0007.438.000\\n
24HyderabadIndia\"Flag India8.900.0008.942.0008.754.0007.677.0182011\\n
25Hangzhou (incluyendo Shaoxing)China\"Bandera China8.150.0008.467.0009.625.0006.887.8192010\\n
26Ciudad Ho Chi MinhVietnam\"Bandera Vietnam8.150.0007.298.0008.957.0005.880.6152009\\n
27WuhanChina\"Bandera China7.950.0007.906.0007.509.0007.541.5272010\\n
28Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)China\"Bandera China7.850.0006.287.0006.337.0005.775.2392010\\n
29Shenyang (incluyendo Fushun)China\"Bandera China7.600.0007.613.0007.402.0007.037.0402010\\n
30AhmedabadIndia\"Flag India7.350.0007.343.0007.186.0006.357.6932011\\n
31Hong KongHong Kong\"Bandera Hong Kong7.200.0007.314.0007.246.0007.071.5762011\\n
32ChongqingChina\"Bandera China6.950.00013.332.0007.217.0006.263.7902010\\n
33Kuala LumpurMalasia\"Bandera Malasia6.950.0006.837.0007.088.0001.305.7922000\\n
34Singapur - Johor BahruSingapur\"Bandera Singapur
Malasia\"Bandera Malasia\\n		6.900.0006.531.0007.312.0005.719.6442010 2000\\n
35Nank\\xc3\\xadnChina\"Bandera China6.750.0007.369.0006.155.0005.827.8882010\\n
36BagdadIrak\"Flag Irak6.750.0006.643.0006.625.0003.841.2681987\\n
37RiadArabia Saudita\"Bandera Arabia Saudita6.550.0006.370.0005.666.0005.188.2862010\\n
38Xi\\'anChina\"Bandera China6.550.0006.044.0005.977.0005.206.2532010\\n
39PuneIndia\"Flag India6.000.0005.728.0005.631.0005.057.7092011\\n
40BandungIndonesia\"Bandera Indonesia5.900.0002.544.0005.695.0002.394.8732010\\n
41Wenzhou (incluyendo Rui\\'an)China\"Bandera China5.800.0003.208.0004.303.0003.614.2082010\\n
42QingdaoChina\"Bandera China5.650.0004.566.0005.816.0003.990.9422010\\n
43SuratIndia\"Flag India5.600.0005.650.0005.447.0004.591.2462011\\n
44HarbinChina\"Bandera China5.100.0005.457.0004.815.0004.596.3132010\\n
45Rang\\xc3\\xbanBirmania\"Bandera Birmania5.100.0004.802.0004.800.0004.728.5242014\\n
46Kitakyushu - FukuokaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n4.725.0005.510.0004.505.0002.440.5892010\\n
47SurabayaIndonesia\"Bandera Indonesia4.675.0002.853.0004.881.0002.765.4872010\\n
48ColomboSri Lanka\"Bandera Sri Lanka4.650.000707.0002.180.000561.3142012\\n
49AnkaraTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada4.625.0004.750.0004.538.0003.203.3622000\\n
50ZhengzhouChina\"Bandera China4.600.0004.387.0004.942.0003.677.0322010\\n
\\n

Las mayores aglomeraciones urbanas de Oriente Medio, Asia Central y Siberia[editar]

\\n\\n\\n\\n\\n\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Oriente Medio, Asia Central y Asia del Norte seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Teher\\xc3\\xa1n (incluyendo Karaj)Ir\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n13.600.00010.239.000[n 2]​13.532.0009.768.677[n 4]​2011\\n
2BagdadIrak\"Flag Irak6.750.0006.643.0006.625.0003.841.2681987\\n
3RiadArabia Saudita\"Bandera Arabia Saudita6.550.0006.370.0005.666.0005.188.2862010\\n
4AnkaraTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada4.625.0004.750.0004.538.0003.203.3622000\\n
5YidaArabia Saudita\"Bandera Arabia Saudita4.175.0004.076.0003.677.0003.430.6972010\\n
6KuwaitKuwait\"Flag Kuwait4.075.0002.779.0004.283.000\\n
7Dub\\xc3\\xa1i (incluyendo Sarja)Emiratos \\xc3\\x81rabes Unidos\"Flag Emiratos \\xc3\\x81rabes Unidos3.800.0003.694.000[n 2]​3.933.000989.276[n 4]​1995\\n
8DamascoSiria\"Bandera Siria3.650.0002.566.0002.560.0001.414.9132004\\n
9KabulAfganist\\xc3\\xa1n\"Bandera Afganist\\xc3\\xa1n3.600.0004.635.0004.635.000913.1641979\\n
10Am\\xc3\\xa1nJordania\"Bandera Jordania3.325.0001.155.0002.468.0001.036.3302004\\n
11AlepoSiria\"Bandera Siria3.050.0003.562.0003.560.0002.132.1002004\\n
12MashhadIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n3.050.0003.014.0003.294.0002.749.3742011\\n
13EsmirnaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada2.925.0003.040.0003.112.0002.232.2652000\\n
14Isfah\\xc3\\xa1nIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n2.725.0001.880.0002.392.0001.756.1262011\\n
15TaskentUzbekist\\xc3\\xa1n\"Bandera Uzbekist\\xc3\\xa1n2.625.0002.251.0002.250.0002.072.4591989\\n
16Tel AvivIsrael\"Bandera Israel2.475.0003.608.0002.979.000348.2451995\\n
17San\\xc3\\xa1Yemen\"Bandera Yemen2.425.0002.962.0002.980.0001.707.5312004\\n
18Bak\\xc3\\xbaAzerbaiy\\xc3\\xa1n\"Bandera Azerbaiy\\xc3\\xa1n2.425.0002.374.0002.661.0001.150.0551989\\n
19DammamArabia Saudita\"Bandera Arabia Saudita2.350.0001.064.0001.019.000903.3122010\\n
20BursaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.930.0001.923.0001.839.0001.194.6872000\\n
21La MecaArabia Saudita\"Bandera Arabia Saudita1.840.0001.771.0001.647.0001.534.7312010\\n
22Franja de Gaza\"Bandera Palestina1.760.000624.000620.000483.8692007\\n
23AlmatyKazajist\\xc3\\xa1n\"Flag Kazajist\\xc3\\xa1n1.750.0001.523.0001.500.0001.365.6321999\\n
24MosulIrak\"Flag Irak1.680.0001.694.0001.675.000664.2211987\\n
25ShirazIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n1.680.0001.661.0001.873.0001.460.6652011\\n
26AdanaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.670.0001.830.0001.830.0001.130.7102000\\n
27Novosibirsk [n 5]​Rusia\"Flag Rusia1.640.0001.497.0001.486.0002010\\n
28BeirutL\\xc3\\xadbano\"Bandera L\\xc3\\xadbano1.630.0002.226.0002.200.000474.8701970\\n
29TabrizIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n1.610.0001.572.0001.693.0001.494.9982011\\n
30Ekaterimburgo [n 5]​Rusia\"Flag Rusia1.590.0001.379.0001.361.0001.473.7542010\\n
31GaziantepTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.530.0001.528.0001.394.000853.5132000\\n
32Erev\\xc3\\xa1nArmenia\"Bandera Armenia1.480.0001.044.0001.274.0001.060.1382011\\n
33Cheli\\xc3\\xa1binsk [n 5]​Rusia\"Flag Rusia1.390.0001.157.0001.150.0001.130.1322010\\n
34BasoraIrak\"Flag Irak1.390.0001.019.0001.000.000406.2961987\\n
35MedinaArabia Saudita\"Bandera Arabia Saudita1.320.0001.280.0001.233.0001.100.0932010\\n
36AhvazIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n1.240.0001.060.0001.315.0001.112.0212011\\n
37TiflisGeorgia\"Bandera Georgia1.230.0001.147.0001.125.0001.073.3452002\\n
38KonyaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.190.0001.194.0001.190.000742.6902000\\n
39Omsk [n 5]​Rusia\"Flag Rusia1.180.0001.162.0001.154.0001.154.1162010\\n
40QomIr\\xc3\\xa1n\"Flag Ir\\xc3\\xa1n1.160.0001.204.0001.101.0001.074.0362011\\n
41ErbilIrak\"Flag Irak1.150.0001.166.0001.150.000485.9681987\\n
42AntalyaTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.140.0001.072.0001.070.000603.1902000\\n
43AsjabadTurkmenist\\xc3\\xa1n\"Flag Turkmenist\\xc3\\xa1n1.140.000746.000740.000401.1351989\\n
44Abu DabiEmiratos \\xc3\\x81rabes Unidos\"Flag Emiratos \\xc3\\x81rabes Unidos1.120.0001.145.000982.000398.6951995\\n
45KirkukIrak\"Flag Irak1.110.000650.000650.000418.6241987\\n
46Krasnoyarsk [n 5]​Rusia\"Flag Rusia1.080.0001.008.000998.000973.8262010\\n
47KayseriTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada1.050.000904.000900.000536.3922000\\n
48HomsSiria\"Bandera Siria---1.641.0001.640.000652.6092004\\n
49HamaSiria\"Bandera Siria---1.237.0001.230.000312.9942004\\n
50HaifaIsrael\"Bandera Israel---1.097.0001.090.000255.9141995\\n
51SolimaniaIrak\"Flag Irak---1.004.0001.000.000364.0961987\\n
52DiyarbakirTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada---926.000920.000545.9832000\\n
53NayafIrak\"Flag Irak---889.000880.000309.0102000\\n
54Ad\\xc3\\xa9nYemen\"Bandera Yemen---882.000880.000588.9382004\\n
55BiskekKirguist\\xc3\\xa1n\"Flag Kirguist\\xc3\\xa1n---865.000850.000821.9152009\\n
\\n

Las mayores aglomeraciones urbanas del subcontinente indio[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en el subcontinente indio seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1DelhiIndia\"Flag India26.000.00025.703.00024.998.00016.349.8312011\\n
2KarachiPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n24.000.00016.618.00022.123.00021.142.6252011\\n
3Bombay (incluyendo Kalyan y Vasai-Virar)India\"Flag India23.000.00021.043.00021.732.000 [n 3]​19.617.302[n 4]​2011\\n
4DacaBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s17.300.00017.598.00015.669.00014.543.1242011\\n
5CalcutaIndia\"Flag India15.900.00014.865.00014.667.00014.057.9912011\\n
6BangaloreIndia\"Flag India10.300.00010.087.0009.807.0008.520.4352011\\n
7LahorePakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n9.950.0008.741.00010.052.0005.143.4951998\\n
8Madr\\xc3\\xa1sIndia\"Flag India9.900.0009.890.0009.714.0008.653.5212011\\n
9HyderabadIndia\"Flag India8.900.0008.942.0008.754.0007.677.0182011\\n
10AhmedabadIndia\"Flag India7.350.0007.343.0007.186.0006.357.6932011\\n
11PuneIndia\"Flag India6.000.0005.728.0005.631.0005.057.7092011\\n
12SuratIndia\"Flag India5.600.0005.650.0005.447.0004.591.2462011\\n
13ColomboSri Lanka\"Bandera Sri Lanka4.650.000707.0002.180.000561.314[n 1]​2012\\n
14ChittagongBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s4.475.0004.539.0003.176.0004.009.4232011\\n
15FaisalabadPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n3.900.0003.567.0003.560.0002.008.8611998\\n
16Rawalpindi (incluyendo Islamabad)Pakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n3.800.0003.871.000[n 2]​2.510.0001.938.948[n 4]​1998\\n
17JaipurIndia\"Flag India3.475.0003.461.0003.409.0003.046.1632011\\n
18LucknowIndia\"Flag India3.300.0003.222.0003.184.0002.902.9202011\\n
19KanpurIndia\"Flag India3.275.0003.021.0003.037.0002011\\n
20NagpurIndia\"Flag India3.000.0002.675.0002.668.0002.497.8702011\\n
21Katmand\\xc3\\xbaNepal\"Bandera Nepal2.875.0001.183.0001.180.0001.003.2852011\\n
22IndoreIndia\"Flag India2.725.0002.441.0002.405.0002.170.2952011\\n
23Bhilai (incluyendo Raipur)India\"Flag India2.500.0002.503.000[n 2]​2.564.000[n 3]​2.187.780[n 4]​2011\\n
24PatnaIndia\"Flag India2.450.0002.210.0002.200.0002.049.1562011\\n
25CoimbatoreIndia\"Flag India2.425.0002.549.0002.481.0002.136.9162011\\n
26GujranwalaPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n2.400.0002.122.0002.120.0001.132.5091998\\n
27 HyderabadPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n2.400.0001.772.0002.920.0001.166.8941998\\n
28BhopalIndia\"Flag India2.150.0002.102.0002.075.0001.886.1002011\\n
29MultanPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n2.125.0001.921.0001.900.0001.197.3841998\\n
30VadodaraIndia\"Flag India2.025.0001.975.0001.963.0001.822.2212011\\n
31AgraIndia\"Flag India2.025.0001.966.0001.938.0001.760.2852011\\n
32ChandigarhIndia\"Flag India2.000.0001.134.0001.124.0001.026.4592011\\n
33VisakhapatnamIndia\"Flag India1.950.0001.935.0001.910.0001.728.1282011\\n
34PeshawarPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n1.870.0001.736.0001.730.000982.8161998\\n
35Ludhi\\xc4\\x81naIndia\"Flag India1.830.0001.716.0001.714.0001.618.8792011\\n
36NashikIndia\"Flag India1.810.0001.779.0001.749.0001.561.8092011\\n
37Benar\\xc3\\xa9sIndia\"Flag India1.770.0001.541.0001.536.0001.432.2802011\\n
38VijayawadaIndia\"Flag India1.740.0001.760.0001.715.0001.476.9312011\\n
39BhubaneswarIndia\"Flag India1.720.000999.000984.000885.3632011\\n
40RajkotIndia\"Flag India1.620.0001.599.0001.568.0001.390.6402011\\n
41MaduraiIndia\"Flag India1.620.0001.593.0001.582.0001.465.6252011\\n
42MeerutIndia\"Flag India1.580.0001.550.0001.541.0001.420.9022011\\n
43AurangabadIndia\"Flag India1.570.0001.344.0001.324.0001.193.1672011\\n
44Coch\\xc3\\xadnIndia\"Flag India1.530.0002.416.0002.374.0002.119.7422011\\n
45JamshedpurIndia\"Flag India1.530.0001.451.0001.443.0001.339.4382011\\n
46KolhapurIndia\"Flag India1.520.000591.000593.000561.8372011\\n
47AsansolIndia\"Flag India1.490.0001.313.0001.315.0001.243.4142011\\n
48SrinagarIndia\"Flag India1.430.0001.429.0001.409.0001.264.2022011\\n
49JabalpurIndia\"Flag India1.380.0001.367.0001.339.0001.268.8482011\\n
50AllahabadIndia\"Flag India1.360.0001.295.0001.294.0001.212.3952011\\n
51JodhpurIndia\"Flag India1.300.0001.284.0001.266.0001.138.3002011\\n
52AmritsarIndia\"Flag India1.300.0001.265.0001.264.0001.183.5492011\\n
53DhanbadIndia\"Flag India1.290.0001.255.0001.258.0001.196.2142011\\n
54RanchiIndia\"Flag India1.270.0001.262.0001.246.0001.120.3742011\\n
55TirupurIndia\"Flag India1.260.0001.230.0001.177.000963.1732011\\n
56GwaliorIndia\"Flag India1.260.0001.221.0001.208.0001.117.7402011\\n
57KotahIndia\"Flag India1.180.0001.163.0001.138.0001.001.9642011\\n
58QuettaPakist\\xc3\\xa1n\"Bandera Pakist\\xc3\\xa1n1.160.0001.109.0001.100.000565.1371998\\n
59BareillyIndia\"Flag India1.150.0001.111.0001.094.000985.7522011\\n
60ThiruvananthapuramIndia\"Flag India1.120.0001.965.0001.921.0001.679.7542011\\n
61TiruchirappalliIndia\"Flag India1.120.0001.106.0001.101.0001.022.5182011\\n
62MysoreIndia\"Flag India1.110.0001.082.0001.078.000990.9002011\\n
63AligarhIndia\"Flag India1.080.0001.037.0001.020.000911.2232011\\n
64MoradabadIndia\"Flag India1.080.0001.023.0001.004.000887.8712011\\n
65KhulnaBanglad\\xc3\\xa9s\"Bandera Banglad\\xc3\\xa9s1.070.0001.022.0001.000.0001.046.3412011\\n
66GuwahatiIndia\"Flag India1.050.0001.042.0001.039.000962.3342011\\n
67Hubli - DharwadIndia\"Flag India1.040.0001.020.000613.000943.7882011\\n
68SolapurIndia\"Flag India1.030.000986.000991.000951.5582011\\n
69SalemIndia\"Flag India1.020.0001.003.000996.000917.4142011\\n
70JalandharIndia\"Flag India1.020.000954.000948.000874.4122011\\n
71KozhikodeIndia\"Flag India---2.476.0002.394.0002.028.3992011\\n
72ThrissurIndia\"Flag India---2.329.0002.236.0001.861.2692011\\n
73MalappuramIndia\"Flag India---2.216.0002.108.0001.699.0602011\\n
74CananorIndia\"Flag India---2.153.0002.047.0001.640.9862011\\n
75KollamIndia\"Flag India---1.410.0001.351.0001.110.6682011\\n
\\n

Las mayores aglomeraciones urbanas de Asia Oriental[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Asia Oriental seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Cant\\xc3\\xb3n (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)China\"Bandera China46.900.00042.941.000[n 2]​45.553.000[n 3]​39.264.086 [n 4]​2010\\n
2TokioJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n39.500.00038.001.00037.843.0008.945.695[n 1]​2010\\n
3Shangh\\xc3\\xa1i (incluyendo Suzhou y Kunshan)China\"Bandera China30.400.00029.213.000[n 2]​30.477.000[n 3]​25.420.288 [n 4]​2010\\n
4Se\\xc3\\xbal (incluyendo Incheon y Suwon)Corea del Sur\"Bandera Corea del Sur24.300.00013.558.000[n 2]​23.480.00023.836.2722010\\n
5Pek\\xc3\\xadnChina\"Bandera China20.700.00020.384.00021.009.00016.446.8572010\\n
6OsakaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n17.800.00020.238.00017.444.0002.665.314[n 1]​2010\\n
7TianjinChina\"Bandera China11.200.00011.210.00010.920.0009.290.2632010\\n
8NagoyaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n10.400.0009.406.00010.177.0002.263.894[n 1]​2010\\n
9Xiamen (incluyendo Quanzhou)China\"Bandera China9.850.0005.825.000[n 2]​11.130.000[n 3]​4.273.841 [n 4]​2010\\n
10ChengduChina\"Bandera China9.400.0007.556.00010.376.0006.316.9222010\\n
11Taip\\xc3\\xa9iTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n9.000.0002.666.0007.438.000\\n
12Hangzhou (incluyendo Shaoxing)China\"Bandera China8.150.0008.467.000[n 2]​9.625.000[n 3]​6.887.8192010\\n
13WuhanChina\"Bandera China7.950.0007.906.0007.509.0007.541.5272010\\n
14Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)China\"Bandera China7.850.0006.287.000[n 2]​6.337.000[n 3]​5.775.239 [n 4]​2010\\n
15Shenyang (incluyendo Fushun)China\"Bandera China7.600.0007.613.000[n 2]​7.402.000[n 3]​7.037.0402010\\n
16Hong KongHong Kong\"Bandera Hong Kong7.200.0007.314.0007.246.0007.071.5762011\\n
17ChongqingChina\"Bandera China6.950.00013.332.0007.217.0006.263.7902010\\n
18Nank\\xc3\\xadnChina\"Bandera China6.750.0007.369.0006.155.0005.827.8882010\\n
19Xi\\'anChina\"Bandera China6.550.0006.044.0005.977.0005.206.2532010\\n
20Wenzhou (incluyendo Rui\\'an)China\"Bandera China5.800.0003.208.0004.303.000[n 3]​3.614.208 [n 4]​2010\\n
21QingdaoChina\"Bandera China5.650.0004.566.0005.816.0003.990.9422010\\n
22HarbinChina\"Bandera China5.100.0005.457.0004.815.0004.596.3132010\\n
23Kitakyushu - FukuokaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n4.725.000[n 6]​5.510.0004.505.000[n 3]​2.440.589 [n 4]​2010\\n
24ZhengzhouChina\"Bandera China4.600.0004.387.0004.942.0003.677.0322010\\n
25HefeiChina\"Bandera China4.475.0003.348.0003.665.0003.098.7272010\\n
26DalianChina\"Bandera China4.425.0004.489.0004.183.0003.902.4672010\\n
27ChangshaChina\"Bandera China4.375.0003.761.0003.657.0003.193.3542010\\n
28Bus\\xc3\\xa1nCorea del Sur\"Bandera Corea del Sur4.250.0003.216.0003.906.0003.414.9502010\\n
29TaiyuanChina\"Bandera China4.150.0003.482.0003.702.0003.154.1572010\\n
30KunmingChina\"Bandera China3.925.0003.780.0003.649.0003.278.7772010\\n
31JinanChina\"Bandera China3.900.0004.032.0003.789.0003.527.5662010\\n
32FuzhouChina\"Bandera China3.875.0003.283.0003.962.0002.824.4142010\\n
33ShijiazhuangChina\"Bandera China3.775.0003.264.0003.367.0002.770.3442010\\n
34ChangchunChina\"Bandera China3.675.0003.762.0003.368.0003.411.2092010\\n
35NanchangChina\"Bandera China3.600.0002.527.0002.637.0002.223.6612010\\n
36\\xc3\\x9cr\\xc3\\xbcmqiChina\"Bandera China3.550.0003.499.0003.184.0002.853.3982010\\n
37NingboChina\"Bandera China3.300.0003.132.0003.753.0002.580.0732010\\n
38ZiboChina\"Bandera China3.300.0002.430.0001.646.0002.261.7172010\\n
39WuxiChina\"Bandera China3.225.0003.049.0003.597.0002.757.7362010\\n
40NanningChina\"Bandera China3.150.0003.234.0002.590.0002.660.8332010\\n
41GuiyangChina\"Bandera China2.850.0002.871.0002.955.0002.520.0612010\\n
42LanzhouChina\"Bandera China2.825.0002.723.0002.703.0002.438.5952010\\n
43PionyangCorea del Norte\"Bandera Corea del Norte2.800.0002.863.0002.850.0002.581.0762008\\n
44KaohsiungTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n2.775.0001.523.0002.599.000\\n
45HuizhouChina\"Bandera China2.750.0002.312.0001.763.0001.807.8582010\\n
46DaeguCorea del Sur\"Bandera Corea del Sur2.750.0002.244.0002.382.0002.446.4182010\\n
47ChangzhouChina\"Bandera China2.625.0002.584.0003.425.0002.257.3762010\\n
48JiangyinChina\"Bandera China2.625.000686.0003.056.0001.013.6702010\\n
49XuzhouChina\"Bandera China2.525.0001.918.0001.301.0002.214.7952010\\n
50AnshanChina\"Bandera China2.500.0001.559.0001.516.0001.504.9962010\\n
51SapporoJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n2.475.0002.571.0002.570.0001.913.545[n 1]​2010\\n
52Shizuoka - HamamatsuJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n2.470.000[n 6]​3.369.0002.018.000[n 3]​1.517.063 [n 4]​2010\\n
53TangshanChina\"Bandera China2.425.0002.743.0002.378.0002.128.1912010\\n
54TaichungTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n2.350.0001.225.0002.935.000\\n
55OkayamaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n2.200.000502.000707.000709.584[n 1]​2010\\n
56BaotouChina\"Bandera China2.125.0001.957.0002.159.0001.900.3732010\\n
57YantaiChina\"Bandera China2.075.0002.114.0001.520.0001.797.8712010\\n
58Taizhou (incluyendo Wenling)China\"Bandera China2.050.0001.648.0002.835.000[n 3]​1.938.289 [n 4]​2010\\n
59CixiChina\"Bandera China2.050.0001.303.0001.490.0001.059.9422010\\n
60LuoyangChina\"Bandera China1.940.0002.015.0001.939.0001.584.4632010\\n
61NantongChina\"Bandera China1.910.0001.978.0001.184.0001.612.3852010\\n
62LiuzhouChina\"Bandera China1.890.0001.619.0001.574.0001.410.7122010\\n
63HiroshimaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.870.0002.173.0001.377.0001.173.843 [n 1]​2010\\n
64Huai\\'anChina\"Bandera China1.840.0002.000.0002.282.0001.523.6552010\\n
65HaikouChina\"Bandera China1.770.0001.903.0001.981.0001.517.4102010\\n
66YangzhouChina\"Bandera China1.760.0001.765.0001.561.0001.077.5312010\\n
67HohhotChina\"Bandera China1.750.0001.785.0002.219.0001.497.1102010\\n
68HuainanChina\"Bandera China1.740.0001.327.0001.142.0001.238.4882010\\n
69LinyiChina\"Bandera China1.700.0001.706.0002.465.0001.522.4882010\\n
70HengyangChina\"Bandera China1.680.0001.301.000987.0001.115.6452010\\n
71DaejeonCorea del Sur\"Bandera Corea del Sur1.600.0001.564.0001.564.0001.501.8592010\\n
72Weifang (incluyendo Zhucheng)China\"Bandera China1.590.0002.195.0002.636.000[n 3]​1.848.234 [n 4]​2010\\n
73BaodingChina\"Bandera China1.590.0001.106.0001.297.0001.038.1952010\\n
74GwangjuCorea del Sur\"Bandera Corea del Sur1.580.0001.536.0001.601.0001.475.7452010\\n
75DaqingChina\"Bandera China1.550.0001.621.000983.0001.433.6982010\\n
76XiangyangChina\"Bandera China1.550.0001.533.0001.183.0001.433.0572010\\n
77YiwuChina\"Bandera China1.550.0001.080.0001.704.000878.9732010\\n
78ZhuhaiChina\"Bandera China1.540.0001.542.0001.547.0001.369.5382010\\n
79DatongChina\"Bandera China1.510.0001.532.0001.709.0001.362.3142010\\n
80YinchuanChina\"Bandera China1.500.0001.596.0001.614.0001.159.4572010\\n
81JilinChina\"Bandera China1.500.0001.520.0001.633.0001.469.7222010\\n
82SendaiJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.480.0002.091.0001.277.0001.045.986 [n 1]​2010\\n
83JiaozuoChina\"Bandera China1.350.000732.000809.000702.5272010\\n
84HandanChina\"Bandera China1.340.0001.634.0002.000.000919.2952010\\n
85PutianChina\"Bandera China1.340.0001.438.0001.468.0001.107.1992010\\n
86XiangtanChina\"Bandera China1.320.0001.010.0001.007.000903.2872010\\n
87XiningChina\"Bandera China1.310.0001.323.0001.345.0001.153.4172010\\n
88HuaibeiChina\"Bandera China1.300.000981.0001.116.000854.6962010\\n
89TainanTaiw\\xc3\\xa1n\"Flag Taiw\\xc3\\xa1n1.300.000815.0001.216.000\\n
90XinxiangChina\"Bandera China1.290.000991.0001.074.000918.0782010\\n
91WuhuChina\"Bandera China1.280.0001.424.0001.456.0001.108.0872010\\n
92Ul\\xc3\\xa1n Bator\"Bandera Mongolia1.280.0001.377.0001.237.0001.144.9542010\\n
93XingtaiChina\"Bandera China1.280.000742.000749.000668.7652010\\n
94YanchengChina\"Bandera China1.240.0001.436.000935.0001.136.8262010\\n
95TaianChina\"Bandera China1.220.0001.220.000817.0001.123.5412010\\n
96GuilinChina\"Bandera China1.190.0001.040.000949.000963.6292010\\n
97ZhangjiakouChina\"Bandera China1.180.000983.0001.156.000924.6282010\\n
98NahaJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.180.000321.0001.007.000315.954 [n 1]​2010\\n
99MianyangChina\"Bandera China1.160.0001.065.000585.000967.0062010\\n
100ZhanjiangChina\"Bandera China1.150.0001.149.0001.042.0001.038.7622010\\n
101BengbuChina\"Bandera China1.150.000842.000961.000793.8662010\\n
102KumamotoJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.150.000601.000697.000734.474 [n 1]​2010\\n
103YichangChina\"Bandera China1.140.0001.264.0001.039.0001.049.3632010\\n
104QingyuanChina\"Bandera China1.130.000694.000588.000916.4532010\\n
105UlsanCorea del Sur\"Bandera Corea del Sur1.120.000904.000900.0001.082.5672010\\n
106ZunyiChina\"Bandera China1.120.000803.000108.000715.1482010\\n
107MaanshanChina\"Bandera China1.110.000858.000827.000657.8472010\\n
108QinhuangdaoChina\"Bandera China1.100.0001.109.0001.041.000967.8772010\\n
109ChangshuChina\"Bandera China1.100.000726.0001.344.000929.1242010\\n
110ChangwonCorea del Sur\"Bandera Corea del Sur1.090.0001.039.000990.0001.058.0212010\\n
111CangnanChina\"Bandera China1.090.000---823.000648.2192010\\n
112ZhuzhouChina\"Bandera China1.080.0001.083.0001.007.000999.4042010\\n
113MaomingChina\"Bandera China1.080.000609.000619.0001.033.1962010\\n
114BenxiChina\"Bandera China1.070.0001.070.000888.0001.000.1282010\\n
115QiqiharChina\"Bandera China1.060.0001.452.0001.241.0001.314.7202010\\n
116LianyungangChina\"Bandera China1.060.0001.099.0001.128.000897.3932010\\n
117ZhenjiangChina\"Bandera China1.050.0001.050.000969.000950.5162010\\n
118KaifengChina\"Bandera China1.040.000804.000633.000725.5732010\\n
119RizhaoChina\"Bandera China1.040.0001.062.000937.000902.2722010\\n
120NanchongChina\"Bandera China1.030.0001.050.000692.000890.4022010\\n
121JinzhouChina\"Bandera China1.030.0001.035.000922.000946.0982010\\n
122ChifengChina\"Bandera China1.020.0001.018.0001.230.000902.2852010\\n
123FujiJap\\xc3\\xb3n\"Bandera Jap\\xc3\\xb3n1.010.000---718.000254.027 [n 1]​2010\\n
124NanyangChina\"Bandera China1.000.0001.011.000731.000899.8992010\\n
125WanzhouChina\"Bandera China1.000.000---582.000849.6622010\\n
126JiningChina\"Bandera China---1.385.000623.000939.0342010\\n
127TaizhouChina\"Bandera China---1.184.000562.000676.8772010\\n
128AnyangChina\"Bandera China---1.140.0001.401.000908.1292010\\n
129SuqianChina\"Bandera China---1.050.000539.000783.3762010\\n
130YonginCorea del Sur\"Bandera Corea del Sur---1.048.000---856.7652010\\n
131Zaozhuang (incluyendo Tengzhou)China\"Bandera China---1.028.0001.481.000[n 3]​1.764.366 [n 4]​2010\\n
132YingkouChina\"Bandera China---1.026.000708.000880.4122010\\n
133BaojiChina\"Bandera China---1.001.000933.000871.9402010\\n
134ZhangzhouChina\"Bandera China------1.410.000614.7002010\\n
135WeihaiChina\"Bandera China------1.208.000698.8632010\\n
136DongyingChina\"Bandera China------1.206.000848.9582010\\n
137JiaxingChina\"Bandera China------1.192.000762.6432010\\n
138JiamusiChina\"Bandera China------1.089.000631.3572010\\n
139FuzhouChina\"Bandera China------1.052.000482.9402010\\n
140HuzhouChina\"Bandera China------1.021.000748.4712010\\n
\\n

Las mayores aglomeraciones urbanas del Sureste Asi\\xc3\\xa1tico[editar]

\\n\\n\\n\\n\\n\\n
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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en el Sureste Asi\\xc3\\xa1tico seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
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\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Yakarta (incluyendo Bogor)Indonesia\"Bandera Indonesia27.700.00011.399.000 [n 2]​30.539.00010.558.121 [n 4]​2010\\n
2ManilaFilipinas\"Bandera Filipinas23.100.00012.946.00024.123.0001.652.171 [n 1]​2010\\n
3Bangkok (incluyendo Samut Prakan)Tailandia\"Flag Tailandia16.700.00011.084.00014.998.0008.986.218 [n 4]​2010\\n
4Ciudad Ho Chi MinhVietnam\"Bandera Vietnam8.150.0007.298.0008.957.0005.880.6152009\\n
5Kuala LumpurMalasia\"Bandera Malasia6.950.0006.837.0007.088.0001.305.792 [n 1]​2000\\n
6Singapur - Johor BahruSingapur\"Bandera Singapur
Malasia\"Bandera Malasia\\n		6.900.0006.531.000 [n 2]​7.312.000 [n 3]​5.719.644 [n 4]​2010 2000\\n
7BandungIndonesia\"Bandera Indonesia5.900.0002.544.0005.695.0002.394.873 [n 1]​2010\\n
8Rang\\xc3\\xban\"Bandera Birmania5.100.0004.802.0004.800.0004.728.5242014\\n
9SurabayaIndonesia\"Bandera Indonesia4.675.0002.853.0004.881.0002.765.487 [n 1]​2010\\n
10MedanIndonesia\"Bandera Indonesia3.400.0002.204.0003.942.0002.097.610 [n 1]​2010\\n
11Han\\xc3\\xb3iVietnam\"Bandera Vietnam2.925.0003.629.0003.715.0002.316.7722009\\n
12Ceb\\xc3\\xbaFilipinas\"Bandera Filipinas2.250.000951.0002.535.000866.171 [n 1]​2010\\n
13SemarangIndonesia\"Bandera Indonesia2.025.0001.630.0001.630.0001.520.4812010\\n
14Nom PenCamboya\"Bandera Camboya1.830.0001.731.0001.729.0001.416.5822008\\n
15MakasarIndonesia\"Bandera Indonesia1.760.0001.489.0001.484.0001.331.3912010\\n
16PalembangIndonesia\"Bandera Indonesia1.680.0001.455.0001.434.0001.440.6782010\\n
17George TownMalasia\"Bandera Malasia1.530.000---1.336.000181.380 [n 1]​2000\\n
18DenpasarIndonesia\"Bandera Indonesia1.470.0001.107.0001.175.000788.589 [n 1]​2010\\n
19MalangIndonesia\"Bandera Indonesia1.410.000856.0001.114.000820.2432010\\n
20Mandalay\"Bandera Birmania1.390.0001.167.0001.160.0001.225.5462014\\n
21DavaoFilipinas\"Bandera Filipinas1.330.0001.630.0001.630.0001.176.586 [n 1]​2010\\n
22YogyakartaIndonesia\"Bandera Indonesia1.270.000385.0001.831.000388.627 [n 1]​2010\\n
23ChonburiTailandia\"Flag Tailandia1.230.000518.000665.000321.149 [n 1]​2010\\n
24SurakartaIndonesia\"Bandera Indonesia1.210.000504.0001.318.000499.337 [n 1]​2010\\n
25BatamIndonesia\"Bandera Indonesia1.160.0001.391.0001.142.000917.9982010\\n
26PekanbaruIndonesia\"Bandera Indonesia1.160.0001.121.0001.100.000882.0452010\\n
27SerangIndonesia\"Bandera Indonesia1.090.000---564.000428.484 [n 1]​2010\\n
28Bandar LampungIndonesia\"Bandera Indonesia1.080.000965.000909.000873.0072010\\n
29\\xc3\\x81ngelesFilipinas\"Bandera Filipinas1.060.000363.000883.000326.336 [n 1]​2010\\n
30Can ThoVietnam\"Bandera Vietnam---1.175.000769.000731.5452009\\n
31Hai PhongVietnam\"Bandera Vietnam---1.075.000983.000769.7362009\\n
32Naipyid\\xc3\\xb3\"Bandera Birmania---1.030.0001.030.000333.5062014\\n
33General SantosFilipinas\"Bandera Filipinas------1.579.000444.116 [n 1]​2010\\n
34CirebonIndonesia\"Bandera Indonesia------1.143.000296.389 [n 1]​2010\\n
35Vienti\\xc3\\xa1nLaos\"Bandera Laos---997.000975.000569.7292005\\n
\\n

Las mayores aglomeraciones urbanas de Europa[editar]

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Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
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Las 50 mayores aglomeraciones urbanas del continente Europeo.\\n
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\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Mosc\\xc3\\xbaRusia\"Flag Rusia16 800 000???12 166 000???16 170 000???11 612 885???2010\\n
2LondresReino Unido\"Bandera Reino Unido14 300 000???10 313 000???10 236 000???11 140 445???2011\\n
3EstambulTurqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada14 200 00014 164 00013.287 0008 803 4682000\\n
4Par\\xc3\\xadsFrancia\"Flag Francia11 200 00010.843.00010.858.0009.738 8091999\\n
5MadridEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a6 400 0006 199 0006 171 0003 198 6452011\\n
6Regi\\xc3\\xb3n del RuhrAlemania\"Flag Alemania5 600 000------\\n
7San PetersburgoRusia\"Flag Rusia5 400 0004 993 0005 126 0004 879 5662010\\n
8Mil\\xc3\\xa1nItalia\"Flag Italia5.150.0003.099.0005.257.0001.242.1232011\\n
9Colonia - D\\xc3\\xbcsseldorfAlemania\"Flag Alemania4.825.0001.640.0008.783.0001.591.8662011\\n
10BarcelonaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a4.700.0005.258.0004.693.0001.611.0132011\\n
11Berl\\xc3\\xadnAlemania\"Flag Alemania4.450.0003.563.0004.069.0003.292.3652011\\n
12N\\xc3\\xa1polesItalia\"Flag Italia4.225.0002.202.0003.706.000962.0032011\\n
13AtenasGrecia\"Flag Grecia3.600.0003.052.0003.484.0003.168.8462011\\n
14RomaItalia\"Flag Italia3.550.0003.718.0003.906.0002.617.1752011\\n
15KievUcrania\"Flag Ucrania3.375.0002.942.0002.241.0002.611.3272001\\n
16BirminghamReino Unido\"Bandera Reino Unido3.100.0002.515.0002.512.0002.697.1682011\\n
17R\\xc3\\xb3terdamPa\\xc3\\xadses Bajos\"Flag Pa\\xc3\\xadses Bajos3.100.000993.0002.660.000608.4222001\\n
18Fr\\xc3\\xa1ncfort del MenoAlemania\"Flag Alemania3.100.000715.0001.915.000667.9252011\\n
19M\\xc3\\xa1nchesterReino Unido\"Bandera Reino Unido3.000.0002.646.0002.639.0002.637.3352011\\n
20HamburgoAlemania\"Flag Alemania2.750.0001.831.0002.087.0001.706.6962011\\n
21LisboaPortugal\"Flag Portugal2.600.0002.884.0002.666.000564.6572001\\n
22BudapestHungr\\xc3\\xada\"Flag Hungr\\xc3\\xada2.550.0001.714.0001.710.0001.729.0402011\\n
23KatowicePolonia\"Flag Polonia2.400.000303.0002.190.000310.7642011\\n
24\\xc3\\x81msterdamPa\\xc3\\xadses Bajos\"Flag Pa\\xc3\\xadses Bajos2.375.0001.091.0001.624.000734.5332001\\n
25StuttgartAlemania\"Flag Alemania2.300.000626.0001.379.000585.8902011\\n
26VarsoviaPolonia\"Flag Polonia2.275.0001.722.0001.720.0001.700.6122011\\n
27BucarestRumania\"Flag Rumania2.175.0001.868.0001.860.0001.883.4252011\\n
28M\\xc3\\xbanichAlemania\"Flag Alemania2.175.0001.438.0001.981.0001.348.3352011\\n
29VienaAustria\"Flag Austria2.125.0001.753.0001.763.0002.015.5802011\\n
30LeedsReino Unido\"Bandera Reino Unido2.125.0001.912.0001.893.0002.058.8612011\\n
31EstocolmoSuecia\"Flag Suecia2.075.0001.486.0001.484.000\\n
32BruselasB\\xc3\\xa9lgica\"Flag B\\xc3\\xa9lgica2.000.0002.045.0002.089.000\\n
33MinskBielorrusia\"Bandera Bielorrusia1.950.0001.915.0001.910.0001.836.8082009\\n
34LyonFrancia\"Flag Francia1.920.0001.609.0001.583.0001.428.9981999\\n
35LiverpoolReino Unido\"Bandera Reino Unido1.830.000870.000875.0001.367.1472011\\n
36ValenciaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a1.780.000810.0001.561.000792.0542011\\n
37Nizni N\\xc3\\xb3vgorodRusia\"Flag Rusia1.750.0001.212.0001.201.0001.250.6192010\\n
38Tur\\xc3\\xadnItalia\"Flag Italia1.670.0001.765.0001.521.000872.3672011\\n
39J\\xc3\\xa1rkovUcrania\"Flag Ucrania1.650.0001.441.0001.440.0001.470.9022001\\n
40MarsellaFrancia\"Flag Francia1.640.0001.605.0001.397.0001.463.0161999\\n
41GlasgowReino Unido\"Bandera Reino Unido1.610.0001.223.0001.220.0001.601.1542011\\n
42CopenhagueDinamarca\"Bandera Dinamarca1.600.0001.268.0001.248.000\\n
43SheffieldReino Unido\"Bandera Reino Unido1.530.000706.000706.000795.8442011\\n
44MannheimAlemania\"Flag Alemania1.520.000319.000559.000290.1172011\\n
45DonetskUcrania\"Flag Ucrania1.480.000934.000930.0001.016.1942001\\n
46Newcastle upon TyneReino Unido\"Bandera Reino Unido1.460.000791.000793.0001.220.7812011\\n
47PragaRep\\xc3\\xbablica Checa\"Flag Rep\\xc3\\xbablica Checa1.460.0001.314.0001.310.0001.169.1062001\\n
48VolgogradoRusia\"Flag Rusia1.410.0001.022.000999.0001.021.2152010\\n
49BelgradoSerbia\"Bandera Serbia1.400.0001.182.0001.180.0001.166.7632011\\n
50DnipropetrovskUcrania\"Flag Ucrania1.390.000957.000950.0001.065.0082001\\n
\\n

Las mayores aglomeraciones urbanas de Europa Occidental[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Europa Occidental seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1LondresReino Unido\"Bandera Reino Unido14.300.00010.313.00010.236.00011.140.4452011\\n
2Par\\xc3\\xadsFrancia\"Flag Francia11.200.00010.843.00010.858.0009.738.8091999\\n
3MadridEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a6.400.0006.199.0006.171.0003.198.645 [n 1]​2011\\n
4Regi\\xc3\\xb3n del Ruhr [n 7]​Alemania\"Flag Alemania5.600.000------\\n
5Mil\\xc3\\xa1nItalia\"Flag Italia5.150.0003.099.0005.257.0001.242.123 [n 1]​2011\\n
6Colonia - D\\xc3\\xbcsseldorfAlemania\"Flag Alemania4.825.0001.640.000 [n 2]​8.783.000 [n 3]​1.591.866 [n 4]​2011\\n
7BarcelonaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a4.700.0005.258.0004.693.0001.611.013 [n 1]​2011\\n
8Berl\\xc3\\xadnAlemania\"Flag Alemania4.450.0003.563.0004.069.0003.292.365 [n 1]​2011\\n
9N\\xc3\\xa1polesItalia\"Flag Italia4.225.0002.202.0003.706.000962.003 [n 1]​2011\\n
10AtenasGrecia\"Flag Grecia3.600.0003.052.0003.484.0003.168.8462011\\n
11RomaItalia\"Flag Italia3.550.0003.718.0003.906.0002.617.175 [n 1]​2011\\n
12BirminghamReino Unido\"Bandera Reino Unido3.100.0002.515.0002.512.0002.697.1682011\\n
13R\\xc3\\xb3terdamPa\\xc3\\xadses Bajos\"Flag Pa\\xc3\\xadses Bajos3.100.000993.0002.660.000608.422 [n 1]​2001\\n
14Fr\\xc3\\xa1ncfort del MenoAlemania\"Flag Alemania3.100.000715.0001.915.000667.925 [n 1]​2011\\n
15M\\xc3\\xa1nchesterReino Unido\"Bandera Reino Unido3.000.0002.646.0002.639.0002.637.3352011\\n
16HamburgoAlemania\"Flag Alemania2.750.0001.831.0002.087.0001.706.696 [n 1]​2011\\n
17LisboaPortugal\"Flag Portugal2.600.0002.884.0002.666.000564.657 [n 1]​2001\\n
18\\xc3\\x81msterdamPa\\xc3\\xadses Bajos\"Flag Pa\\xc3\\xadses Bajos2.375.0001.091.0001.624.000734.533 [n 1]​2001\\n
19StuttgartAlemania\"Flag Alemania2.300.000626.0001.379.000585.890 [n 1]​2011\\n
20M\\xc3\\xbanichAlemania\"Flag Alemania2.175.0001.438.0001.981.0001.348.335 [n 1]​2011\\n
21VienaAustria\"Flag Austria2.125.0001.753.0001.763.0002.015.5802011\\n
22LeedsReino Unido\"Bandera Reino Unido2.125.0001.912.0001.893.0002.058.8612011\\n
23EstocolmoSuecia\"Flag Suecia2.075.0001.486.0001.484.000\\n
24BruselasB\\xc3\\xa9lgica\"Flag B\\xc3\\xa9lgica2.000.0002.045.0002.089.000\\n
25LyonFrancia\"Flag Francia1.920.0001.609.0001.583.0001.428.9981999\\n
26LiverpoolReino Unido\"Bandera Reino Unido1.830.000870.000875.0001.367.1472011\\n
27ValenciaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a1.780.000810.0001.561.000792.054 [n 1]​2011\\n
28Tur\\xc3\\xadnItalia\"Flag Italia1.670.0001.765.0001.521.000872.367 [n 1]​2011\\n
29MarsellaFrancia\"Flag Francia1.640.0001.605.0001.397.0001.463.0161999\\n
30GlasgowReino Unido\"Bandera Reino Unido1.610.0001.223.0001.220.0001.601.1542011\\n
31CopenhagueDinamarca\"Bandera Dinamarca1.600.0001.268.0001.248.000\\n
32SheffieldReino Unido\"Bandera Reino Unido1.530.000706.000706.000795.8442011\\n
33MannheimAlemania\"Flag Alemania1.520.000319.000559.000290.117 [n 1]​2011\\n
34Newcastle upon TyneReino Unido\"Bandera Reino Unido1.460.000791.000793.0001.220.7812011\\n
35Z\\xc3\\xbarichSuiza\"Flag Suiza1.350.0001.246.000785.0001.249.7502010\\n
36NottinghamReino Unido\"Bandera Reino Unido1.350.000755.000755.000754.7892011\\n
37SevillaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a1.340.000701.0001.107.000698.0422011\\n
38Dubl\\xc3\\xadnIrlanda\"Flag Irlanda1.320.0001.169.0001.160.0001.110.6272011\\n
39LilleFrancia\"Flag Francia1.270.0001.027.0001.018.000999.7971999\\n
40HelsinkiFinlandia\"Flag Finlandia1.220.0001.180.0001.208.0001.027.3052000\\n
41OportoPortugal\"Flag Portugal1.190.0001.299.0001.474.000263.131 [n 1]​2001\\n
42N\\xc3\\xbarembergAlemania\"Flag Alemania1.160.000517.000670.000486.314 [n 1]​2011\\n
43OsloNoruega\"Flag Noruega1.130.000986.000975.000685.5301990\\n
44SouthamptonReino Unido\"Bandera Reino Unido1.130.000882.000883.0001.060.3262011\\n
45HannoverAlemania\"Flag Alemania1.120.000533.000711.000506.416 [n 1]​2011\\n
46AmberesB\\xc3\\xa9lgica\"Flag B\\xc3\\xa9lgica1.020.000994.0001.008.000\\n
47M\\xc3\\xa1lagaEspa\\xc3\\xb1a\"Flag Espa\\xc3\\xb1a1.010.000574.000716.000561.4352011\\n
48Niza - CannesFrancia\"Flag Francia---967.000978.000889.1631999\\n
49ToulouseFrancia\"Flag Francia---938.000922.000761.9631999\\n
\\n

Las mayores aglomeraciones urbanas de Europa Oriental[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Europa Oriental seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1Mosc\\xc3\\xbaRusia\"Flag Rusia16.800.00012.166.00016.170.00011.612.8852010\\n
2Estambul [n 8]​Turqu\\xc3\\xada\"Bandera Turqu\\xc3\\xada14.200.00014.164.00013.287.0008.803.4682000\\n
3San PetersburgoRusia\"Flag Rusia5.400.0004.993.0005.126.0004.879.5662010\\n
4KievUcrania\"Flag Ucrania3.375.0002.942.0002.241.0002.611.3272001\\n
5BudapestHungr\\xc3\\xada\"Flag Hungr\\xc3\\xada2.550.0001.714.0001.710.0001.729.0402011\\n
6KatowicePolonia\"Flag Polonia2.400.000303.0002.190.000310.764 [n 1]​2011\\n
7VarsoviaPolonia\"Flag Polonia2.275.0001.722.0001.720.0001.700.612 [n 1]​2011\\n
8BucarestRumania\"Flag Rumania2.175.0001.868.0001.860.0001.883.4252011\\n
9MinskBielorrusia\"Bandera Bielorrusia1.950.0001.915.0001.910.0001.836.8082009\\n
10Nizni N\\xc3\\xb3vgorodRusia\"Flag Rusia1.750.0001.212.0001.201.0001.250.6192010\\n
11J\\xc3\\xa1rkovUcrania\"Flag Ucrania1.650.0001.441.0001.440.0001.470.9022001\\n
12DonetskUcrania\"Flag Ucrania1.480.000934.000930.0001.016.1942001\\n
13PragaRep\\xc3\\xbablica Checa\"Flag Rep\\xc3\\xbablica Checa1.460.0001.314.0001.310.0001.169.1062001\\n
14VolgogradoRusia\"Flag Rusia1.410.0001.022.000999.0001.021.2152010\\n
15BelgradoSerbia\"Bandera Serbia1.400.0001.182.0001.180.0001.166.7632011\\n
16DnipropetrovskUcrania\"Flag Ucrania1.390.000957.000950.0001.065.0082001\\n
17Sof\\xc3\\xadaBulgaria\"Bandera Bulgaria1.320.0001.226.0001.195.0001.202.7612011\\n
18SamaraRusia\"Flag Rusia1.320.0001.164.0001.162.0001.164.6852010\\n
19Rostov del DonRusia\"Flag Rusia1.280.0001.097.0001.090.0001.089.2612010\\n
20Kaz\\xc3\\xa1nRusia\"Flag Rusia1.210.0001.162.0001.160.0001.143.5352010\\n
21Uf\\xc3\\xa1Rusia\"Flag Rusia1.110.0001.070.0001.024.0001.062.3192010\\n
22OdesaUcrania\"Flag Ucrania1.110.0001.010.0001.010.0001.029.0492001\\n
23PermRusia\"Flag Rusia1.100.000982.000974.000991.1622010\\n
24Sar\\xc3\\xa1tovRusia\"Flag Rusia1.090.000815.000772.000837.9002010\\n
25Vor\\xc3\\xb3nezhRusia\"Flag Rusia1.030.000911.000897.000975.3732010\\n
\\n

Las mayores aglomeraciones urbanas de Ocean\\xc3\\xada[editar]

\\n\\n\\n\\n\\n\\n
\\n
\"\"
Este art\\xc3\\xadculo o secci\\xc3\\xb3n se encuentra desactualizado.
La informaci\\xc3\\xb3n suministrada ha quedado obsoleta o es insuficiente.
Uso de esta plantilla: {{sust:Desactualizado|tema del art\\xc3\\xadculo}}
\\n

Las aglomeraciones urbanas que superar\\xc3\\xadan el mill\\xc3\\xb3n de habitantes en Ocean\\xc3\\xada seg\\xc3\\xban estimaciones recientes y los datos de los \\xc3\\xbaltimos censos oficiales donde existan datos disponibles, ordenadas seg\\xc3\\xban las estimaciones de Citypopulation:\\n
\\n

\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
Posici\\xc3\\xb3n\\nCiudad\\nPa\\xc3\\xads\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Citypopulation (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban ONU (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban Demographia (2015)\\nPoblaci\\xc3\\xb3n seg\\xc3\\xban \\xc3\\xbaltimo censo\\nFecha y fuente\\n
1S\\xc3\\xaddneyAustralia\"Flag Australia4.850.0004.505.0004.036.0004.028.5252011\\n
2MelbourneAustralia\"Flag Australia4.350.0004.203.0003.906.0003.847.5672011\\n
3BrisbaneAustralia\"Flag Australia2.875.0002.202.0001.999.0001.977.3162011\\n
4PerthAustralia\"Flag Australia2.025.0001.861.0001.751.0001.670.9522011\\n
5AucklandNueva Zelanda\"Bandera Nueva Zelanda1.404.0001.344.0001.356.0001.308.8312013\\n
6AdelaidaAustralia\"Flag Australia1.290.0001.256.0001.140.0001.198.4672011\\n
7Honolulu[n 9]​Estados Unidos\"Flag Estados Unidos1.000.000848.000842.000953.2072010\\n
\\n

V\\xc3\\xa9ase tambi\\xc3\\xa9n[editar]

\\n\\n

Referencias y notas[editar]

\\n

Notas[editar]

\\n
    \\n
  1. \\xe2\\x86\\x91 a b c d e f g h i j k l m n \\xc3\\xb1 o p q r s t u v w x y z aa ab ac ad ae af ag ah ai aj ak al am an a\\xc3\\xb1 ao ap aq ar as at au av aw ax ay az ba bb bc bd be bf bg bh bi bj bk bl bm bn b\\xc3\\xb1 bo bp bq br bs bt bu bv bw bx by bz El valor corresponde a la entidad ciudad.\\n
    2. \\n
  2. \\xe2\\x86\\x91 a b c d e f g h i j k l m n \\xc3\\xb1 o p q r s t La ONU considera aglomeraciones separadas, el valor corresponde a la suma de las aglomeraciones.\\n
    3. \\n
  3. \\xe2\\x86\\x91 a b c d e f g h i j k l m n \\xc3\\xb1 o p q r s t u Demographia considera aglomeraciones separadas, el valor corresponde a la suma de las aglomeraciones.\\n
    4. \\n
  4. \\xe2\\x86\\x91 a b c d e f g h i j k l m n \\xc3\\xb1 o p q r s t u v w x y El valor corresponde a la suma censal de las ciudades.\\n
    5. \\n
  5. \\xe2\\x86\\x91 a b c d e Geogr\\xc3\\xa1ficamente pertenece a Asia. Pol\\xc3\\xadticamente pertenece a Europa.\\n
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  6. \\xe2\\x86\\x91 a b Citypopulation considera aglomeraciones separadas, el valor corresponde a la suma de las aglomeraciones.\\n
    7. \\n
  7. \\xe2\\x86\\x91 Conurbaci\\xc3\\xb3n alemana, incluye ciudades como Bochum, Dortmund, Essen, Duisburgo, entre otras.\\n
    8. \\n
  8. \\xe2\\x86\\x91 Pol\\xc3\\xadtica y geogr\\xc3\\xa1ficamente pertenece a Asia y Europa.\\n
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  9. \\xe2\\x86\\x91 Geogr\\xc3\\xa1ficamente pertenece a Ocean\\xc3\\xada, pol\\xc3\\xadticamente pertenece a Am\\xc3\\xa9rica del Norte.\\n
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Referencias[editar]

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  1. \\xe2\\x86\\x91 Citypopulation (2016). \\xc2\\xabMAJOR AGGLOMERATIONS OF THE WORLD\\xc2\\xbb (en ingl\\xc3\\xa9s). Consultado el 22 de enero de 2016. \\n
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  2. \\xe2\\x86\\x91 Demographia (2015). \\xc2\\xabDemographia World Urban Areas\\xc2\\xbb (en ingl\\xc3\\xa9s). Consultado el 23 de agosto de 2015. \\n
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  3. \\xe2\\x86\\x91 \\xc2\\xabWor samara diaz vazquez e israel lopezl 2010]\\xc2\\xbb. \\n
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Enlaces externos[editar]

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CiudadFecha y fuentePaísPoblación según Citypopulation (2015)Población según Citypopulation (2016)Población según Citypopulation[1]​Población según Demographia (2015)Población según Demographia[2]​Población según ONU (2015)Población según ONU[3]​Población según último censoPoblación según último censo oficialPosición
0Cantón2010ChinaNaNNaN45 600 000NaN42 941 000NaN45 553 000NaN39 264 0861
1Tokio2020JapónNaNNaN40 200 000NaN38 001 000NaN37 843 000NaN8 945 6952
2Shanghái2010ChinaNaNNaN35 900 000NaN29 213 000NaN30 539 000NaN10 558 1213
3Yakarta2010IndonesiaNaNNaN30 600 000NaN11 399 000NaN30 477 000NaN25 420 2884
4Delhi2011IndiaNaNNaN29 400 000NaN25 703 000NaN24 998 000NaN16 349 8315
5Manila2010FilipinasNaNNaN25 200 000NaN12 946 000NaN24 123 000NaN1 652 1716
6Seúl2010Corea del SurNaNNaN24 700 000NaN13 558 000NaN23 480 000NaN23 836 2727
7Bombay2011IndiaNaNNaN24 700 000NaN21 043 000NaN21 732 000NaN19 617 3028
8Ciudad de México2015MéxicoNaNNaN22 800 000NaN22 452 000NaN20 063 000NaN20 892 7249
9Nueva York2010Estados UnidosNaNNaN22 400 000NaN19 532 000NaN20 630 000NaN19 556 44010
10São Paulo2010BrasilNaNNaN22 200 000NaN21 066 000NaN20 365 000NaN19 683 97511
11El Cairo2006EgiptoNaNNaN20 500 000NaN13 123 000NaN13 123 000NaN7 740 01812
12Pekín2010ChinaNaNNaN20 400 000NaN13 123 000NaN13 123 000NaN16 446 85713
13Daca2011BangladésNaNNaN19 500 000NaN17 598 000NaN15 669 000NaN14 543 12414
14Lagos1991NigeriaNaNNaN18 800 000NaN18 772 000NaN15 600 000NaN5 195 24715
15Bangkok2010TailandiaNaNNaN18 300 000NaN11 084 000NaN14 998 000NaN8 986 21816
16Los Ángeles2010Estados UnidosNaNNaN17 800 000NaN14 504 000NaN15 058 000NaN17 053 90517
17Osaka2010JapónNaNNaN17 700 000NaN20 238 000NaN17 444 000NaN2 665 31418
18Karachi2011PakistánNaNNaN17 300 000NaN16 618 000NaN22 123 000NaN21 142 62519
19Moscú2010RusiaNaNNaN17 200 000NaN12 166 000NaN16 170 000NaN11 612 88520
20Calcuta2011IndiaNaNNaN16 600 000NaN14 865 000NaN14 667 000NaN14 057 99121
21Buenos Aires2017ArgentinaNaNNaN16 300 000NaN18 086 000NaN14 122 000NaN13 588 17122
22Estambul2015TurquíaNaNNaN15 800 000NaN14 164 000NaN13 287 000NaN14 657 00023
23Teherán2011IránNaNNaN15 000 000NaN10 239 000NaN13 532 000NaN9 768 67724
24Londres2011Reino UnidoNaNNaN14 700 000NaN10 313 000NaN10 236 000NaN11 140 44525
25Johannesburgo2009SudáfricaNaNNaN13 700 000NaN12 613 000NaN12 066 000NaN10 002 03926
26Tianjin2010ChinaNaNNaN13 200 000NaN11 210 000NaN10 920 000NaN9 290 26328
27Río de Janeiro2010BrasilNaNNaN13 100 000NaN12 902 000NaN11 727 000NaN11 835 70827
28Lahore1998PakistánNaNNaN12 600 000NaN8 741 000NaN10 052 000NaN5 143 49529
29Kinsasa2004República Democrática del CongoNaNNaN12 000 000NaN11 587 000NaN11 587 000NaN7 273 94730
..........................................
20Lisboa2001Portugal2.600.000NaNNaN2.666.000NaN2.884.000NaN564.657NaN21
21Budapest2011Hungría2.550.000NaNNaN1.710.000NaN1.714.000NaN1.729.040NaN22
22Katowice2011Polonia2.400.000NaNNaN2.190.000NaN303.000NaN310.764NaN23
23Ámsterdam2001Países Bajos2.375.000NaNNaN1.624.000NaN1.091.000NaN734.533NaN24
24Stuttgart2011Alemania2.300.000NaNNaN1.379.000NaN626.000NaN585.890NaN25
25Varsovia2011Polonia2.275.000NaNNaN1.720.000NaN1.722.000NaN1.700.612NaN26
26Bucarest2011Rumania2.175.000NaNNaN1.860.000NaN1.868.000NaN1.883.425NaN27
27Múnich2011Alemania2.175.000NaNNaN1.981.000NaN1.438.000NaN1.348.335NaN28
28Viena2011Austria2.125.000NaNNaN1.763.000NaN1.753.000NaN2.015.580NaN29
29Leeds2011Reino Unido2.125.000NaNNaN1.893.000NaN1.912.000NaN2.058.861NaN30
30EstocolmoNaNSuecia2.075.000NaNNaN1.484.000NaN1.486.000NaNNaNNaN31
31BruselasNaNBélgica2.000.000NaNNaN2.089.000NaN2.045.000NaNNaNNaN32
32Minsk2009Bielorrusia1.950.000NaNNaN1.910.000NaN1.915.000NaN1.836.808NaN33
33Lyon1999Francia1.920.000NaNNaN1.583.000NaN1.609.000NaN1.428.998NaN34
34Liverpool2011Reino Unido1.830.000NaNNaN875.000NaN870.000NaN1.367.147NaN35
35Valencia2011España1.780.000NaNNaN1.561.000NaN810.000NaN792.054NaN36
36Nizni Nóvgorod2010Rusia1.750.000NaNNaN1.201.000NaN1.212.000NaN1.250.619NaN37
37Turín2011Italia1.670.000NaNNaN1.521.000NaN1.765.000NaN872.367NaN38
38Járkov2001Ucrania1.650.000NaNNaN1.440.000NaN1.441.000NaN1.470.902NaN39
39Marsella1999Francia1.640.000NaNNaN1.397.000NaN1.605.000NaN1.463.016NaN40
40Glasgow2011Reino Unido1.610.000NaNNaN1.220.000NaN1.223.000NaN1.601.154NaN41
41CopenhagueNaNDinamarca1.600.000NaNNaN1.248.000NaN1.268.000NaNNaNNaN42
42Sheffield2011Reino Unido1.530.000NaNNaN706.000NaN706.000NaN795.844NaN43
43Mannheim2011Alemania1.520.000NaNNaN559.000NaN319.000NaN290.117NaN44
44Donetsk2001Ucrania1.480.000NaNNaN930.000NaN934.000NaN1.016.194NaN45
45Newcastle upon Tyne2011Reino Unido1.460.000NaNNaN793.000NaN791.000NaN1.220.781NaN46
46Praga2001República Checa1.460.000NaNNaN1.310.000NaN1.314.000NaN1.169.106NaN47
47Volgogrado2010Rusia1.410.000NaNNaN999.000NaN1.022.000NaN1.021.215NaN48
48Belgrado2011Serbia1.400.000NaNNaN1.180.000NaN1.182.000NaN1.166.763NaN49
49Dnipropetrovsk2001Ucrania1.390.000NaNNaN950.000NaN957.000NaN1.065.008NaN50
\n", + "

839 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " Ciudad Fecha y fuente País \\\n", + "0 Cantón 2010 China \n", + "1 Tokio 2020 Japón \n", + "2 Shanghái 2010 China \n", + "3 Yakarta 2010 Indonesia \n", + "4 Delhi 2011 India \n", + "5 Manila 2010 Filipinas \n", + "6 Seúl 2010 Corea del Sur \n", + "7 Bombay 2011 India \n", + "8 Ciudad de México 2015 México \n", + "9 Nueva York 2010 Estados Unidos \n", + "10 São Paulo 2010 Brasil \n", + "11 El Cairo 2006 Egipto \n", + "12 Pekín 2010 China \n", + "13 Daca 2011 Bangladés \n", + "14 Lagos 1991 Nigeria \n", + "15 Bangkok 2010 Tailandia \n", + "16 Los Ángeles 2010 Estados Unidos \n", + "17 Osaka 2010 Japón \n", + "18 Karachi 2011 Pakistán \n", + "19 Moscú 2010 Rusia \n", + "20 Calcuta 2011 India \n", + "21 Buenos Aires 2017 Argentina \n", + "22 Estambul 2015 Turquía \n", + "23 Teherán 2011 Irán \n", + "24 Londres 2011 Reino Unido \n", + "25 Johannesburgo 2009 Sudáfrica \n", + "26 Tianjin 2010 China \n", + "27 Río de Janeiro 2010 Brasil \n", + "28 Lahore 1998 Pakistán \n", + "29 Kinsasa 2004 República Democrática del Congo \n", + ".. ... ... ... \n", + "20 Lisboa 2001 Portugal \n", + "21 Budapest 2011 Hungría \n", + "22 Katowice 2011 Polonia \n", + "23 Ámsterdam 2001 Países Bajos \n", + "24 Stuttgart 2011 Alemania \n", + "25 Varsovia 2011 Polonia \n", + "26 Bucarest 2011 Rumania \n", + "27 Múnich 2011 Alemania \n", + "28 Viena 2011 Austria \n", + "29 Leeds 2011 Reino Unido \n", + "30 Estocolmo NaN Suecia \n", + "31 Bruselas NaN Bélgica \n", + "32 Minsk 2009 Bielorrusia \n", + "33 Lyon 1999 Francia \n", + "34 Liverpool 2011 Reino Unido \n", + "35 Valencia 2011 España \n", + "36 Nizni Nóvgorod 2010 Rusia \n", + "37 Turín 2011 Italia \n", + "38 Járkov 2001 Ucrania \n", + "39 Marsella 1999 Francia \n", + "40 Glasgow 2011 Reino Unido \n", + "41 Copenhague NaN Dinamarca \n", + "42 Sheffield 2011 Reino Unido \n", + "43 Mannheim 2011 Alemania \n", + "44 Donetsk 2001 Ucrania \n", + "45 Newcastle upon Tyne 2011 Reino Unido \n", + "46 Praga 2001 República Checa \n", + "47 Volgogrado 2010 Rusia \n", + "48 Belgrado 2011 Serbia \n", + "49 Dnipropetrovsk 2001 Ucrania \n", + "\n", + " Población según Citypopulation (2015) \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "5 NaN \n", + "6 NaN \n", + "7 NaN \n", + "8 NaN \n", + "9 NaN \n", + "10 NaN \n", + "11 NaN \n", + "12 NaN \n", + "13 NaN \n", + "14 NaN \n", + "15 NaN \n", + "16 NaN \n", + "17 NaN \n", + "18 NaN \n", + "19 NaN \n", + "20 NaN \n", + "21 NaN \n", + "22 NaN \n", + "23 NaN \n", + "24 NaN \n", + "25 NaN \n", + "26 NaN \n", + "27 NaN \n", + "28 NaN \n", + "29 NaN \n", + ".. ... \n", + "20 2.600.000 \n", + "21 2.550.000 \n", + "22 2.400.000 \n", + "23 2.375.000 \n", + "24 2.300.000 \n", + "25 2.275.000 \n", + "26 2.175.000 \n", + "27 2.175.000 \n", + "28 2.125.000 \n", + "29 2.125.000 \n", + "30 2.075.000 \n", + "31 2.000.000 \n", + "32 1.950.000 \n", + "33 1.920.000 \n", + "34 1.830.000 \n", + "35 1.780.000 \n", + "36 1.750.000 \n", + "37 1.670.000 \n", + "38 1.650.000 \n", + "39 1.640.000 \n", + "40 1.610.000 \n", + "41 1.600.000 \n", + "42 1.530.000 \n", + "43 1.520.000 \n", + "44 1.480.000 \n", + "45 1.460.000 \n", + "46 1.460.000 \n", + "47 1.410.000 \n", + "48 1.400.000 \n", + "49 1.390.000 \n", + "\n", + " Población según Citypopulation (2016) Población según Citypopulation[1]​ \\\n", + "0 NaN 45 600 000 \n", + "1 NaN 40 200 000 \n", + "2 NaN 35 900 000 \n", + "3 NaN 30 600 000 \n", + "4 NaN 29 400 000 \n", + "5 NaN 25 200 000 \n", + "6 NaN 24 700 000 \n", + "7 NaN 24 700 000 \n", + "8 NaN 22 800 000 \n", + "9 NaN 22 400 000 \n", + "10 NaN 22 200 000 \n", + "11 NaN 20 500 000 \n", + "12 NaN 20 400 000 \n", + "13 NaN 19 500 000 \n", + "14 NaN 18 800 000 \n", + "15 NaN 18 300 000 \n", + "16 NaN 17 800 000 \n", + "17 NaN 17 700 000 \n", + "18 NaN 17 300 000 \n", + "19 NaN 17 200 000 \n", + "20 NaN 16 600 000 \n", + "21 NaN 16 300 000 \n", + "22 NaN 15 800 000 \n", + "23 NaN 15 000 000 \n", + "24 NaN 14 700 000 \n", + "25 NaN 13 700 000 \n", + "26 NaN 13 200 000 \n", + "27 NaN 13 100 000 \n", + "28 NaN 12 600 000 \n", + "29 NaN 12 000 000 \n", + ".. ... ... \n", + "20 NaN NaN \n", + "21 NaN NaN \n", + "22 NaN NaN \n", + "23 NaN NaN \n", + "24 NaN NaN \n", + "25 NaN NaN \n", + "26 NaN NaN \n", + "27 NaN NaN \n", + "28 NaN NaN \n", + "29 NaN NaN \n", + "30 NaN NaN \n", + "31 NaN NaN \n", + "32 NaN NaN \n", + "33 NaN NaN \n", + "34 NaN NaN \n", + "35 NaN NaN \n", + "36 NaN NaN \n", + "37 NaN NaN \n", + "38 NaN NaN \n", + "39 NaN NaN \n", + "40 NaN NaN \n", + "41 NaN NaN \n", + "42 NaN NaN \n", + "43 NaN NaN \n", + "44 NaN NaN \n", + "45 NaN NaN \n", + "46 NaN NaN \n", + "47 NaN NaN \n", + "48 NaN NaN \n", + "49 NaN NaN \n", + "\n", + " Población según Demographia (2015) Población según Demographia[2]​ \\\n", + "0 NaN 42 941 000 \n", + "1 NaN 38 001 000 \n", + "2 NaN 29 213 000 \n", + "3 NaN 11 399 000 \n", + "4 NaN 25 703 000 \n", + "5 NaN 12 946 000 \n", + "6 NaN 13 558 000 \n", + "7 NaN 21 043 000 \n", + "8 NaN 22 452 000 \n", + "9 NaN 19 532 000 \n", + "10 NaN 21 066 000 \n", + "11 NaN 13 123 000 \n", + "12 NaN 13 123 000 \n", + "13 NaN 17 598 000 \n", + "14 NaN 18 772 000 \n", + "15 NaN 11 084 000 \n", + "16 NaN 14 504 000 \n", + "17 NaN 20 238 000 \n", + "18 NaN 16 618 000 \n", + "19 NaN 12 166 000 \n", + "20 NaN 14 865 000 \n", + "21 NaN 18 086 000 \n", + "22 NaN 14 164 000 \n", + "23 NaN 10 239 000 \n", + "24 NaN 10 313 000 \n", + "25 NaN 12 613 000 \n", + "26 NaN 11 210 000 \n", + "27 NaN 12 902 000 \n", + "28 NaN 8 741 000 \n", + "29 NaN 11 587 000 \n", + ".. ... ... \n", + "20 2.666.000 NaN \n", + "21 1.710.000 NaN \n", + "22 2.190.000 NaN \n", + "23 1.624.000 NaN \n", + "24 1.379.000 NaN \n", + "25 1.720.000 NaN \n", + "26 1.860.000 NaN \n", + "27 1.981.000 NaN \n", + "28 1.763.000 NaN \n", + "29 1.893.000 NaN \n", + "30 1.484.000 NaN \n", + "31 2.089.000 NaN \n", + "32 1.910.000 NaN \n", + "33 1.583.000 NaN \n", + "34 875.000 NaN \n", + "35 1.561.000 NaN \n", + "36 1.201.000 NaN \n", + "37 1.521.000 NaN \n", + "38 1.440.000 NaN \n", + "39 1.397.000 NaN \n", + "40 1.220.000 NaN \n", + "41 1.248.000 NaN \n", + "42 706.000 NaN \n", + "43 559.000 NaN \n", + "44 930.000 NaN \n", + "45 793.000 NaN \n", + "46 1.310.000 NaN \n", + "47 999.000 NaN \n", + "48 1.180.000 NaN \n", + "49 950.000 NaN \n", + "\n", + " Población según ONU (2015) Población según ONU[3]​ \\\n", + "0 NaN 45 553 000 \n", + "1 NaN 37 843 000 \n", + "2 NaN 30 539 000 \n", + "3 NaN 30 477 000 \n", + "4 NaN 24 998 000 \n", + "5 NaN 24 123 000 \n", + "6 NaN 23 480 000 \n", + "7 NaN 21 732 000 \n", + "8 NaN 20 063 000 \n", + "9 NaN 20 630 000 \n", + "10 NaN 20 365 000 \n", + "11 NaN 13 123 000 \n", + "12 NaN 13 123 000 \n", + "13 NaN 15 669 000 \n", + "14 NaN 15 600 000 \n", + "15 NaN 14 998 000 \n", + "16 NaN 15 058 000 \n", + "17 NaN 17 444 000 \n", + "18 NaN 22 123 000 \n", + "19 NaN 16 170 000 \n", + "20 NaN 14 667 000 \n", + "21 NaN 14 122 000 \n", + "22 NaN 13 287 000 \n", + "23 NaN 13 532 000 \n", + "24 NaN 10 236 000 \n", + "25 NaN 12 066 000 \n", + "26 NaN 10 920 000 \n", + "27 NaN 11 727 000 \n", + "28 NaN 10 052 000 \n", + "29 NaN 11 587 000 \n", + ".. ... ... \n", + "20 2.884.000 NaN \n", + "21 1.714.000 NaN \n", + "22 303.000 NaN \n", + "23 1.091.000 NaN \n", + "24 626.000 NaN \n", + "25 1.722.000 NaN \n", + "26 1.868.000 NaN \n", + "27 1.438.000 NaN \n", + "28 1.753.000 NaN \n", + "29 1.912.000 NaN \n", + "30 1.486.000 NaN \n", + "31 2.045.000 NaN \n", + "32 1.915.000 NaN \n", + "33 1.609.000 NaN \n", + "34 870.000 NaN \n", + "35 810.000 NaN \n", + "36 1.212.000 NaN \n", + "37 1.765.000 NaN \n", + "38 1.441.000 NaN \n", + "39 1.605.000 NaN \n", + "40 1.223.000 NaN \n", + "41 1.268.000 NaN \n", + "42 706.000 NaN \n", + "43 319.000 NaN \n", + "44 934.000 NaN \n", + "45 791.000 NaN \n", + "46 1.314.000 NaN \n", + "47 1.022.000 NaN \n", + "48 1.182.000 NaN \n", + "49 957.000 NaN \n", + "\n", + " Población según último censo Población según último censo oficial Posición \n", + "0 NaN 39 264 086 1 \n", + "1 NaN 8 945 695 2 \n", + "2 NaN 10 558 121 3 \n", + "3 NaN 25 420 288 4 \n", + "4 NaN 16 349 831 5 \n", + "5 NaN 1 652 171 6 \n", + "6 NaN 23 836 272 7 \n", + "7 NaN 19 617 302 8 \n", + "8 NaN 20 892 724 9 \n", + "9 NaN 19 556 440 10 \n", + "10 NaN 19 683 975 11 \n", + "11 NaN 7 740 018 12 \n", + "12 NaN 16 446 857 13 \n", + "13 NaN 14 543 124 14 \n", + "14 NaN 5 195 247 15 \n", + "15 NaN 8 986 218 16 \n", + "16 NaN 17 053 905 17 \n", + "17 NaN 2 665 314 18 \n", + "18 NaN 21 142 625 19 \n", + "19 NaN 11 612 885 20 \n", + "20 NaN 14 057 991 21 \n", + "21 NaN 13 588 171 22 \n", + "22 NaN 14 657 000 23 \n", + "23 NaN 9 768 677 24 \n", + "24 NaN 11 140 445 25 \n", + "25 NaN 10 002 039 26 \n", + "26 NaN 9 290 263 28 \n", + "27 NaN 11 835 708 27 \n", + "28 NaN 5 143 495 29 \n", + "29 NaN 7 273 947 30 \n", + ".. ... ... ... \n", + "20 564.657 NaN 21 \n", + "21 1.729.040 NaN 22 \n", + "22 310.764 NaN 23 \n", + "23 734.533 NaN 24 \n", + "24 585.890 NaN 25 \n", + "25 1.700.612 NaN 26 \n", + "26 1.883.425 NaN 27 \n", + "27 1.348.335 NaN 28 \n", + "28 2.015.580 NaN 29 \n", + "29 2.058.861 NaN 30 \n", + "30 NaN NaN 31 \n", + "31 NaN NaN 32 \n", + "32 1.836.808 NaN 33 \n", + "33 1.428.998 NaN 34 \n", + "34 1.367.147 NaN 35 \n", + "35 792.054 NaN 36 \n", + "36 1.250.619 NaN 37 \n", + "37 872.367 NaN 38 \n", + "38 1.470.902 NaN 39 \n", + "39 1.463.016 NaN 40 \n", + "40 1.601.154 NaN 41 \n", + "41 NaN NaN 42 \n", + "42 795.844 NaN 43 \n", + "43 290.117 NaN 44 \n", + "44 1.016.194 NaN 45 \n", + "45 1.220.781 NaN 46 \n", + "46 1.169.106 NaN 47 \n", + "47 1.021.215 NaN 48 \n", + "48 1.166.763 NaN 49 \n", + "49 1.065.008 NaN 50 \n", + "\n", + "[839 rows x 13 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#consolidar todos los datos de todas los dataframes\n", + "wikiWW = wiki2[0]\n", + "wikiAF = wiki2[2]\n", + "wikiAN = wiki2[6]\n", + "wikiAC = wiki2[8]\n", + "wikiAS = wiki2[9]\n", + "wikiOM = wiki2[13]\n", + "wikiIN = wiki2[15]\n", + "wikiAO = wiki2[17]\n", + "wikiSA = wiki2[19]\n", + "wikiEOC = wiki2[23]\n", + "wikiEOR = wiki2[25]\n", + "wikiOC = wiki2[27]\n", + "wikiAM = wiki2[4]\n", + "wikiAS = wiki2[11]\n", + "wikiEU = wiki2[21]\n", + "\n", + "wiki3_df = pandas.concat([wikiWW, wikiAF, wikiAN, wikiAC, wikiAS, wikiOM, wikiIN, wikiAO, wikiSA, wikiEOC, wikiEOR, wikiOC, wikiAM, wikiAS, wikiEU], axis=0)\n", + "wiki3_df" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "#Exportar hacia un archivo csv todo el dataframe duplicado\n", + "wiki3_df.to_csv('wiki3_df.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Ciudad', 'Fecha y fuente', 'País',\n", + " 'Población según Citypopulation (2015)',\n", + " 'Población según Citypopulation (2016)',\n", + " 'Población según Citypopulation[1]​',\n", + " 'Población según Demographia (2015)', 'Población según Demographia[2]​',\n", + " 'Población según ONU (2015)', 'Población según ONU[3]​',\n", + " 'Población según último censo', 'Población según último censo oficial',\n", + " 'Posición'],\n", + " dtype='object')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#sin embargo existen columnas duplicadas. Por ejemplo Citpopulation tiene 3 columnas con fechas diferentes.\n", + "#debemos cambiar el nombre de las columnas (1) y convertir sus valores en números (2)\n", + "wiki3_df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Ciudad',\n", + " 'Fecha y fuente',\n", + " 'País',\n", + " 'Población según Citypopulation (2015)',\n", + " 'Población según Citypopulation (2016)',\n", + " 'Población según Citypopulation[1]\\u200b',\n", + " 'Población según Demographia (2015)',\n", + " 'Población según Demographia[2]\\u200b',\n", + " 'Población según ONU (2015)',\n", + " 'Población según ONU[3]\\u200b',\n", + " 'Población según último censo',\n", + " 'Población según último censo oficial',\n", + " 'Posición']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#determinar los nombres de las columnas cuyos nombres deberán cambiar\n", + "lista_columns = list(wiki3_df.columns)\n", + "lista_columns" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 45 600 000\n", + "1 40 200 000\n", + "2 35 900 000\n", + "3 30 600 000\n", + "4 29 400 000\n", + "Name: Población según Citypopulation[1]​, dtype: object" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wiki3_df['Población según Citypopulation[1]\\u200b'].head()\n", + "#esta es la columna cuyo nombre es el más complicado por los []\n", + "#Observar la diferencia entre \"Población según Citypopulation[1]\" y \"Población según Citypopulation[1]\\u200b\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Ciudad', 'Fecha', 'País', 'Citypopulation 2015', 'Citypopulation 2016',\n", + " 'Citypopulation Sin Fecha', 'Demographia 2015', 'Demographia Sin Fecha',\n", + " 'ONU 2015', 'ONU Sin Fecha', 'Ultimo Censo', 'Ultimo Censo Oficial',\n", + " 'Posición en Tabla Inicial'],\n", + " dtype='object')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wiki3_df.rename(columns = {'Población según Citypopulation (2015)': 'Citypopulation 2015',\n", + " 'Población según Citypopulation (2016)': 'Citypopulation 2016',\n", + " 'Población según Demographia (2015)': 'Demographia 2015',\n", + " 'Población según ONU (2015)': 'ONU 2015',\n", + " 'Población según último censo': 'Ultimo Censo',\n", + " 'Población según último censo oficial': 'Ultimo Censo Oficial',\n", + " 'Posición': 'Posición en Tabla Inicial', \n", + " 'Población según Citypopulation[1]\\u200b': 'Citypopulation Sin Fecha', 'Población según Demographia[2]\\u200b': 'Demographia Sin Fecha', 'Población según ONU[3]\\u200b': 'ONU Sin Fecha', 'Fecha y fuente': 'Fecha'},\n", + " inplace=True)\n", + "wiki3_df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Al existir múltiples fechas para una misma fuente, se consolidarán en nuevas columnas generadas:\n", + "#el criterio de selección será seleccionar fecha más reciente o valor disponible\n", + "#primer paso generar nuevas columnas\n", + "#wiki3_df['Citypopulation'] = ''\n", + "#wiki3_df['Demographia'] = ''\n", + "#wiki3_df['ONU'] = ''\n", + "#wiki3_df.columns\n", + "#se descarta esta opción debido que los inputs de las nuevas columnas generadas no provienen de una sola columna (no es copiar y pegar)\n", + "#se debe realizar una evaluación (if: existe numero o no estaba vacío) o unir las columnas de origen (Citypopulation 2015, 2016 y sin fecha)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ciudad 0\n", + "Fecha 19\n", + "País 0\n", + "Citypopulation 2015 303\n", + "Citypopulation 2016 636\n", + "Citypopulation Sin Fecha 739\n", + "Demographia 2015 100\n", + "Demographia Sin Fecha 739\n", + "ONU 2015 100\n", + "ONU Sin Fecha 739\n", + "Ultimo Censo 119\n", + "Ultimo Censo Oficial 739\n", + "Posición en Tabla Inicial 0\n", + "dtype: int64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#primero validar qué columnas están vacias\n", + "null_cols = wiki3_df.isnull().sum()\n", + "null_cols\n", + "#null_cols[null_cols > 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ciudad 0\n", + "Fecha 19\n", + "País 0\n", + "Citypopulation 2015 303\n", + "Demographia 2015 100\n", + "ONU 2015 100\n", + "Ultimo Censo 119\n", + "Posición en Tabla Inicial 0\n", + "dtype: int64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#las columnas con el mayor numero de valores vacios se eliminarán finalmente existen\n", + "#Existen 9 columnas con diferentes fuentes sobre el censo en las ciudades\n", + "wiki3_df = wiki3_df.drop(['Citypopulation 2016', 'Citypopulation Sin Fecha', 'Demographia Sin Fecha', 'ONU Sin Fecha', 'Ultimo Censo Oficial'], axis=1)\n", + "null_cols = wiki3_df.isnull().sum()\n", + "null_cols" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ciudad object\n", + "Fecha object\n", + "País object\n", + "Citypopulation 2015 object\n", + "Demographia 2015 object\n", + "ONU 2015 object\n", + "Ultimo Censo object\n", + "Posición en Tabla Inicial int64\n", + "dtype: object\n" + ] + } + ], + "source": [ + "#confirmar los tipos de valores que tienen las columnas para poder sumar\n", + "print(wiki3_df.dtypes)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "#Antes de convertir a numeros, se debe limpiar la data de los puntos(.) de lo contrario ocurirá error en la conversión\n", + "wiki3_df['Citypopulation 2015']= wiki3_df['Citypopulation 2015'].str.replace('.', '').replace('NaN', '0').replace('---','').replace(' ','') \n", + "wiki3_df['Demographia 2015']= wiki3_df['Demographia 2015'].str.replace('.', '').replace('NaN', '0').replace('---','').replace(' ','') \n", + "wiki3_df['ONU 2015']= wiki3_df['ONU 2015'].str.replace('.', '').replace('NaN', '0').replace('---','').replace(' ','')\n", + "wiki3_df['Ultimo Censo']= wiki3_df['Ultimo Censo'].str.replace('.', '').replace('NaN', '0').replace('---','').replace(' ','')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ciudad object\n", + "Fecha float64\n", + "País object\n", + "Citypopulation 2015 float64\n", + "Demographia 2015 float64\n", + "ONU 2015 float64\n", + "Ultimo Censo float64\n", + "Posición en Tabla Inicial int64\n", + "dtype: object\n" + ] + } + ], + "source": [ + "#Convertir todos los valores de estimaciones de población a números\n", + "wiki3_df[\"Citypopulation 2015\"] = pandas.to_numeric(wiki3_df[\"Citypopulation 2015\"], errors='coerce')\n", + "wiki3_df[\"Demographia 2015\"] = pandas.to_numeric(wiki3_df[\"Demographia 2015\"], errors='coerce')\n", + "wiki3_df[\"ONU 2015\"] = pandas.to_numeric(wiki3_df[\"ONU 2015\"], errors='coerce')\n", + "wiki3_df[\"Fecha\"] = pandas.to_numeric(wiki3_df[\"Fecha\"], errors='coerce')\n", + "wiki3_df[\"Ultimo Censo\"] = pandas.to_numeric(wiki3_df[\"Ultimo Censo\"], errors='coerce')\n", + "#wiki3_df = wiki3_df.astype({\"Posición en la Tabla Inicial\": int})\n", + "print(wiki3_df.dtypes)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CiudadFechaPaísCitypopulation 2015Demographia 2015ONU 2015Ultimo CensoPosición en Tabla Inicial
0Cantón (incluyendo Dongguan, Foshan, Jiangmen,...2010.0China46900000.045553000.042941000.039264086.01
1Tokio2010.0Japón39500000.037843000.038001000.08945695.02
2Shanghái (incl. Suzhou, Kunshan)2010.0China30400000.030477000.029213000.025420288.03
3Yakarta (incluyendo Bogor)2010.0Indonesia30100000.030539000.011399000.010558121.04
4Delhi2011.0India28400000.024998000.025703000.016349831.05
5Karachi2011.0Pakistán25300000.022123000.016618000.021142625.06
6Manila2010.0Filipinas24600000.024123000.012946000.01652171.07
7Bombay (incluyendo Kalyan y Vasai-Virar)2011.0India24300000.021732000.021043000.019617302.08
8Seúl (incluyendo Incheon y Suwon)2010.0Corea del Sur24100000.023480000.010558000.023836272.09
9Daca2011.0Bangladés22300000.015669000.017598000.014543124.010
10Pekín2010.0China20700000.021009000.020384000.016446857.011
11Osaka2010.0Japón19800000.017444000.020238000.02665314.012
12Bangkok (incluyendo Samut Prakan)2010.0Tailandia16700000.014998000.011084000.08986218.013
13Calcuta2011.0India15900000.014667000.014865000.014057991.014
14Teherán (incluyendo Karaj)2011.0Irán13600000.013532000.010239000.09768677.015
15Tianjin2010.0China11200000.010920000.011210000.09290263.016
16Nagoya2010.0Japón10400000.010177000.09406000.02263894.017
17Bangalore2011.0India10300000.09807000.010087000.08520435.018
18Lahore1998.0Pakistán9950000.010052000.08741000.05143495.019
19Madrás2011.0India9900000.09714000.09890000.08653521.020
20Xiamen (incluyendl Quanzhou)2010.0China9850000.011130000.05825000.04273841.021
21Chengdu2010.0China9400000.010376000.07556000.06316922.022
22TaipéiNaNTaiwán9000000.07438000.02666000.0NaN23
23Hyderabad2011.0India8900000.08754000.08942000.07677018.024
24Hangzhou (incluyendo Shaoxing)2010.0China8150000.09625000.08467000.06887819.025
25Ciudad Ho Chi Minh2009.0Vietnam8150000.08957000.07298000.05880615.026
26Wuhan2010.0China7950000.07509000.07906000.07541527.027
27Shantou (incluyendo Chaozhou, Puning, Chaoyang...2010.0China7850000.06337000.06287000.05775239.028
28Shenyang (incluyendo Fushun)2010.0China7600000.07402000.07613000.07037040.029
29Ahmedabad2011.0India7350000.07186000.07343000.06357693.030
...........................
20Lisboa2001.0Portugal2600000.02666000.02884000.0564657.021
21Budapest2011.0Hungría2550000.01710000.01714000.01729040.022
22Katowice2011.0Polonia2400000.02190000.0303000.0310764.023
23Ámsterdam2001.0Países Bajos2375000.01624000.01091000.0734533.024
24Stuttgart2011.0Alemania2300000.01379000.0626000.0585890.025
25Varsovia2011.0Polonia2275000.01720000.01722000.01700612.026
26Bucarest2011.0Rumania2175000.01860000.01868000.01883425.027
27Múnich2011.0Alemania2175000.01981000.01438000.01348335.028
28Viena2011.0Austria2125000.01763000.01753000.02015580.029
29Leeds2011.0Reino Unido2125000.01893000.01912000.02058861.030
30EstocolmoNaNSuecia2075000.01484000.01486000.0NaN31
31BruselasNaNBélgica2000000.02089000.02045000.0NaN32
32Minsk2009.0Bielorrusia1950000.01910000.01915000.01836808.033
33Lyon1999.0Francia1920000.01583000.01609000.01428998.034
34Liverpool2011.0Reino Unido1830000.0875000.0870000.01367147.035
35Valencia2011.0España1780000.01561000.0810000.0792054.036
36Nizni Nóvgorod2010.0Rusia1750000.01201000.01212000.01250619.037
37Turín2011.0Italia1670000.01521000.01765000.0872367.038
38Járkov2001.0Ucrania1650000.01440000.01441000.01470902.039
39Marsella1999.0Francia1640000.01397000.01605000.01463016.040
40Glasgow2011.0Reino Unido1610000.01220000.01223000.01601154.041
41CopenhagueNaNDinamarca1600000.01248000.01268000.0NaN42
42Sheffield2011.0Reino Unido1530000.0706000.0706000.0795844.043
43Mannheim2011.0Alemania1520000.0559000.0319000.0290117.044
44Donetsk2001.0Ucrania1480000.0930000.0934000.01016194.045
45Newcastle upon Tyne2011.0Reino Unido1460000.0793000.0791000.01220781.046
46Praga2001.0República Checa1460000.01310000.01314000.01169106.047
47Volgogrado2010.0Rusia1410000.0999000.01022000.01021215.048
48Belgrado2011.0Serbia1400000.01180000.01182000.01166763.049
49Dnipropetrovsk2001.0Ucrania1390000.0950000.0957000.01065008.050
\n", + "

491 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " Ciudad Fecha \\\n", + "0 Cantón (incluyendo Dongguan, Foshan, Jiangmen,... 2010.0 \n", + "1 Tokio 2010.0 \n", + "2 Shanghái (incl. Suzhou, Kunshan) 2010.0 \n", + "3 Yakarta (incluyendo Bogor) 2010.0 \n", + "4 Delhi 2011.0 \n", + "5 Karachi 2011.0 \n", + "6 Manila 2010.0 \n", + "7 Bombay (incluyendo Kalyan y Vasai-Virar) 2011.0 \n", + "8 Seúl (incluyendo Incheon y Suwon) 2010.0 \n", + "9 Daca 2011.0 \n", + "10 Pekín 2010.0 \n", + "11 Osaka 2010.0 \n", + "12 Bangkok (incluyendo Samut Prakan) 2010.0 \n", + "13 Calcuta 2011.0 \n", + "14 Teherán (incluyendo Karaj) 2011.0 \n", + "15 Tianjin 2010.0 \n", + "16 Nagoya 2010.0 \n", + "17 Bangalore 2011.0 \n", + "18 Lahore 1998.0 \n", + "19 Madrás 2011.0 \n", + "20 Xiamen (incluyendl Quanzhou) 2010.0 \n", + "21 Chengdu 2010.0 \n", + "22 Taipéi NaN \n", + "23 Hyderabad 2011.0 \n", + "24 Hangzhou (incluyendo Shaoxing) 2010.0 \n", + "25 Ciudad Ho Chi Minh 2009.0 \n", + "26 Wuhan 2010.0 \n", + "27 Shantou (incluyendo Chaozhou, Puning, Chaoyang... 2010.0 \n", + "28 Shenyang (incluyendo Fushun) 2010.0 \n", + "29 Ahmedabad 2011.0 \n", + ".. ... ... \n", + "20 Lisboa 2001.0 \n", + "21 Budapest 2011.0 \n", + "22 Katowice 2011.0 \n", + "23 Ámsterdam 2001.0 \n", + "24 Stuttgart 2011.0 \n", + "25 Varsovia 2011.0 \n", + "26 Bucarest 2011.0 \n", + "27 Múnich 2011.0 \n", + "28 Viena 2011.0 \n", + "29 Leeds 2011.0 \n", + "30 Estocolmo NaN \n", + "31 Bruselas NaN \n", + "32 Minsk 2009.0 \n", + "33 Lyon 1999.0 \n", + "34 Liverpool 2011.0 \n", + "35 Valencia 2011.0 \n", + "36 Nizni Nóvgorod 2010.0 \n", + "37 Turín 2011.0 \n", + "38 Járkov 2001.0 \n", + "39 Marsella 1999.0 \n", + "40 Glasgow 2011.0 \n", + "41 Copenhague NaN \n", + "42 Sheffield 2011.0 \n", + "43 Mannheim 2011.0 \n", + "44 Donetsk 2001.0 \n", + "45 Newcastle upon Tyne 2011.0 \n", + "46 Praga 2001.0 \n", + "47 Volgogrado 2010.0 \n", + "48 Belgrado 2011.0 \n", + "49 Dnipropetrovsk 2001.0 \n", + "\n", + " País Citypopulation 2015 Demographia 2015 ONU 2015 \\\n", + "0 China 46900000.0 45553000.0 42941000.0 \n", + "1 Japón 39500000.0 37843000.0 38001000.0 \n", + "2 China 30400000.0 30477000.0 29213000.0 \n", + "3 Indonesia 30100000.0 30539000.0 11399000.0 \n", + "4 India 28400000.0 24998000.0 25703000.0 \n", + "5 Pakistán 25300000.0 22123000.0 16618000.0 \n", + "6 Filipinas 24600000.0 24123000.0 12946000.0 \n", + "7 India 24300000.0 21732000.0 21043000.0 \n", + "8 Corea del Sur 24100000.0 23480000.0 10558000.0 \n", + "9 Bangladés 22300000.0 15669000.0 17598000.0 \n", + "10 China 20700000.0 21009000.0 20384000.0 \n", + "11 Japón 19800000.0 17444000.0 20238000.0 \n", + "12 Tailandia 16700000.0 14998000.0 11084000.0 \n", + "13 India 15900000.0 14667000.0 14865000.0 \n", + "14 Irán 13600000.0 13532000.0 10239000.0 \n", + "15 China 11200000.0 10920000.0 11210000.0 \n", + "16 Japón 10400000.0 10177000.0 9406000.0 \n", + "17 India 10300000.0 9807000.0 10087000.0 \n", + "18 Pakistán 9950000.0 10052000.0 8741000.0 \n", + "19 India 9900000.0 9714000.0 9890000.0 \n", + "20 China 9850000.0 11130000.0 5825000.0 \n", + "21 China 9400000.0 10376000.0 7556000.0 \n", + "22 Taiwán 9000000.0 7438000.0 2666000.0 \n", + "23 India 8900000.0 8754000.0 8942000.0 \n", + "24 China 8150000.0 9625000.0 8467000.0 \n", + "25 Vietnam 8150000.0 8957000.0 7298000.0 \n", + "26 China 7950000.0 7509000.0 7906000.0 \n", + "27 China 7850000.0 6337000.0 6287000.0 \n", + "28 China 7600000.0 7402000.0 7613000.0 \n", + "29 India 7350000.0 7186000.0 7343000.0 \n", + ".. ... ... ... ... \n", + "20 Portugal 2600000.0 2666000.0 2884000.0 \n", + "21 Hungría 2550000.0 1710000.0 1714000.0 \n", + "22 Polonia 2400000.0 2190000.0 303000.0 \n", + "23 Países Bajos 2375000.0 1624000.0 1091000.0 \n", + "24 Alemania 2300000.0 1379000.0 626000.0 \n", + "25 Polonia 2275000.0 1720000.0 1722000.0 \n", + "26 Rumania 2175000.0 1860000.0 1868000.0 \n", + "27 Alemania 2175000.0 1981000.0 1438000.0 \n", + "28 Austria 2125000.0 1763000.0 1753000.0 \n", + "29 Reino Unido 2125000.0 1893000.0 1912000.0 \n", + "30 Suecia 2075000.0 1484000.0 1486000.0 \n", + "31 Bélgica 2000000.0 2089000.0 2045000.0 \n", + "32 Bielorrusia 1950000.0 1910000.0 1915000.0 \n", + "33 Francia 1920000.0 1583000.0 1609000.0 \n", + "34 Reino Unido 1830000.0 875000.0 870000.0 \n", + "35 España 1780000.0 1561000.0 810000.0 \n", + "36 Rusia 1750000.0 1201000.0 1212000.0 \n", + "37 Italia 1670000.0 1521000.0 1765000.0 \n", + "38 Ucrania 1650000.0 1440000.0 1441000.0 \n", + "39 Francia 1640000.0 1397000.0 1605000.0 \n", + "40 Reino Unido 1610000.0 1220000.0 1223000.0 \n", + "41 Dinamarca 1600000.0 1248000.0 1268000.0 \n", + "42 Reino Unido 1530000.0 706000.0 706000.0 \n", + "43 Alemania 1520000.0 559000.0 319000.0 \n", + "44 Ucrania 1480000.0 930000.0 934000.0 \n", + "45 Reino Unido 1460000.0 793000.0 791000.0 \n", + "46 República Checa 1460000.0 1310000.0 1314000.0 \n", + "47 Rusia 1410000.0 999000.0 1022000.0 \n", + "48 Serbia 1400000.0 1180000.0 1182000.0 \n", + "49 Ucrania 1390000.0 950000.0 957000.0 \n", + "\n", + " Ultimo Censo Posición en Tabla Inicial \n", + "0 39264086.0 1 \n", + "1 8945695.0 2 \n", + "2 25420288.0 3 \n", + "3 10558121.0 4 \n", + "4 16349831.0 5 \n", + "5 21142625.0 6 \n", + "6 1652171.0 7 \n", + "7 19617302.0 8 \n", + "8 23836272.0 9 \n", + "9 14543124.0 10 \n", + "10 16446857.0 11 \n", + "11 2665314.0 12 \n", + "12 8986218.0 13 \n", + "13 14057991.0 14 \n", + "14 9768677.0 15 \n", + "15 9290263.0 16 \n", + "16 2263894.0 17 \n", + "17 8520435.0 18 \n", + "18 5143495.0 19 \n", + "19 8653521.0 20 \n", + "20 4273841.0 21 \n", + "21 6316922.0 22 \n", + "22 NaN 23 \n", + "23 7677018.0 24 \n", + "24 6887819.0 25 \n", + "25 5880615.0 26 \n", + "26 7541527.0 27 \n", + "27 5775239.0 28 \n", + "28 7037040.0 29 \n", + "29 6357693.0 30 \n", + ".. ... ... \n", + "20 564657.0 21 \n", + "21 1729040.0 22 \n", + "22 310764.0 23 \n", + "23 734533.0 24 \n", + "24 585890.0 25 \n", + "25 1700612.0 26 \n", + "26 1883425.0 27 \n", + "27 1348335.0 28 \n", + "28 2015580.0 29 \n", + "29 2058861.0 30 \n", + "30 NaN 31 \n", + "31 NaN 32 \n", + "32 1836808.0 33 \n", + "33 1428998.0 34 \n", + "34 1367147.0 35 \n", + "35 792054.0 36 \n", + "36 1250619.0 37 \n", + "37 872367.0 38 \n", + "38 1470902.0 39 \n", + "39 1463016.0 40 \n", + "40 1601154.0 41 \n", + "41 NaN 42 \n", + "42 795844.0 43 \n", + "43 290117.0 44 \n", + "44 1016194.0 45 \n", + "45 1220781.0 46 \n", + "46 1169106.0 47 \n", + "47 1021215.0 48 \n", + "48 1166763.0 49 \n", + "49 1065008.0 50 \n", + "\n", + "[491 rows x 8 columns]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Eliminar los rows que contengan valores \"0\" o \"NaN\": ¿Cómo debe resultar?\n", + "wiki3_df.dropna(subset=['Citypopulation 2015'], how = 'all', inplace = True)\n", + "wiki3_df" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of duplicate records dropped: 50\n" + ] + } + ], + "source": [ + "#Empezar a trabajar en limpiar la data:\n", + "#1. Eliminar registros duplicados\n", + "before = len(wiki3_df)\n", + "wiki3_df = wiki3_df.drop_duplicates()\n", + "after = len(wiki3_df)\n", + "print('Number of duplicate records dropped: ', str(before - after))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Ciudad Fecha País Citypopulation 2015 Demographia 2015 ONU 2015 \\\n", + "27 Beirut 1970.0 Líbano 1630000.0 2200000.0 2226000.0 \n", + "\n", + " Ultimo Censo Posición en Tabla Inicial \n", + "27 474870.0 28 \n" + ] + } + ], + "source": [ + "#2. ¿Cuál es el censo más antiguo?\n", + "print(wiki3_df[wiki3_df.Fecha== wiki3_df.Fecha.min()])" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CiudadFechaCitypopulation 2015Demographia 2015ONU 2015Ultimo CensoPosición en Tabla Inicial
País
Afganistán1111111
Alemania1716171515717
Arabia Saudita6666666
Armenia1111111
Australia5555555
Austria2222222
Azerbaiyán1111111
Bangladés4444444
Bielorrusia2222222
Birmania3333333
Bulgaria1111111
Bélgica3033303
Camboya1111111
China116116116107108109116
Corea del Norte1111111
Corea del Sur8888788
Dinamarca2022202
Emiratos Árabes Unidos2222112
España7777747
Estados Unidos1111111
Filipinas5555515
Finlandia1111111
Francia6666666
Georgia1111111
Grecia2222222
Hong Kong2222222
Hungría2222222
India65646563646365
Indonesia18181818161018
Irak6666666
........................
Kuwait1011101
Líbano1111111
Malasia3333213
Mongolia1111111
Nepal1111111
Noruega1111111
Nueva Zelanda1111111
Pakistán11111111101011
Palestina1111111
Países Bajos4444424
Polonia4444424
Portugal3333313
Reino Unido17171717171717
República Checa2222222
Rumania2222222
Rusia18181818181718
Serbia2222222
Singapur Malasia2021112
Siria2222222
Sri Lanka2222212
Suecia2022202
Suiza1111111
Tailandia3333313
Taiwán5055505
Turkmenistán1111111
Turquía10101010101010
Ucrania9999999
Uzbekistán1111111
Vietnam3333333
Yemen1111111
\n", + "

67 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " Ciudad Fecha Citypopulation 2015 Demographia 2015 \\\n", + "País \n", + "Afganistán 1 1 1 1 \n", + "Alemania 17 16 17 15 \n", + "Arabia Saudita 6 6 6 6 \n", + "Armenia 1 1 1 1 \n", + "Australia 5 5 5 5 \n", + "Austria 2 2 2 2 \n", + "Azerbaiyán 1 1 1 1 \n", + "Bangladés 4 4 4 4 \n", + "Bielorrusia 2 2 2 2 \n", + "Birmania 3 3 3 3 \n", + "Bulgaria 1 1 1 1 \n", + "Bélgica 3 0 3 3 \n", + "Camboya 1 1 1 1 \n", + "China 116 116 116 107 \n", + "Corea del Norte 1 1 1 1 \n", + "Corea del Sur 8 8 8 8 \n", + "Dinamarca 2 0 2 2 \n", + "Emiratos Árabes Unidos 2 2 2 2 \n", + "España 7 7 7 7 \n", + "Estados Unidos 1 1 1 1 \n", + "Filipinas 5 5 5 5 \n", + "Finlandia 1 1 1 1 \n", + "Francia 6 6 6 6 \n", + "Georgia 1 1 1 1 \n", + "Grecia 2 2 2 2 \n", + "Hong Kong 2 2 2 2 \n", + "Hungría 2 2 2 2 \n", + "India 65 64 65 63 \n", + "Indonesia 18 18 18 18 \n", + "Irak 6 6 6 6 \n", + "... ... ... ... ... \n", + "Kuwait 1 0 1 1 \n", + "Líbano 1 1 1 1 \n", + "Malasia 3 3 3 3 \n", + "Mongolia 1 1 1 1 \n", + "Nepal 1 1 1 1 \n", + "Noruega 1 1 1 1 \n", + "Nueva Zelanda 1 1 1 1 \n", + "Pakistán 11 11 11 11 \n", + "Palestina 1 1 1 1 \n", + "Países Bajos 4 4 4 4 \n", + "Polonia 4 4 4 4 \n", + "Portugal 3 3 3 3 \n", + "Reino Unido 17 17 17 17 \n", + "República Checa 2 2 2 2 \n", + "Rumania 2 2 2 2 \n", + "Rusia 18 18 18 18 \n", + "Serbia 2 2 2 2 \n", + "Singapur Malasia 2 0 2 1 \n", + "Siria 2 2 2 2 \n", + "Sri Lanka 2 2 2 2 \n", + "Suecia 2 0 2 2 \n", + "Suiza 1 1 1 1 \n", + "Tailandia 3 3 3 3 \n", + "Taiwán 5 0 5 5 \n", + "Turkmenistán 1 1 1 1 \n", + "Turquía 10 10 10 10 \n", + "Ucrania 9 9 9 9 \n", + "Uzbekistán 1 1 1 1 \n", + "Vietnam 3 3 3 3 \n", + "Yemen 1 1 1 1 \n", + "\n", + " ONU 2015 Ultimo Censo Posición en Tabla Inicial \n", + "País \n", + "Afganistán 1 1 1 \n", + "Alemania 15 7 17 \n", + "Arabia Saudita 6 6 6 \n", + "Armenia 1 1 1 \n", + "Australia 5 5 5 \n", + "Austria 2 2 2 \n", + "Azerbaiyán 1 1 1 \n", + "Bangladés 4 4 4 \n", + "Bielorrusia 2 2 2 \n", + "Birmania 3 3 3 \n", + "Bulgaria 1 1 1 \n", + "Bélgica 3 0 3 \n", + "Camboya 1 1 1 \n", + "China 108 109 116 \n", + "Corea del Norte 1 1 1 \n", + "Corea del Sur 7 8 8 \n", + "Dinamarca 2 0 2 \n", + "Emiratos Árabes Unidos 1 1 2 \n", + "España 7 4 7 \n", + "Estados Unidos 1 1 1 \n", + "Filipinas 5 1 5 \n", + "Finlandia 1 1 1 \n", + "Francia 6 6 6 \n", + "Georgia 1 1 1 \n", + "Grecia 2 2 2 \n", + "Hong Kong 2 2 2 \n", + "Hungría 2 2 2 \n", + "India 64 63 65 \n", + "Indonesia 16 10 18 \n", + "Irak 6 6 6 \n", + "... ... ... ... \n", + "Kuwait 1 0 1 \n", + "Líbano 1 1 1 \n", + "Malasia 2 1 3 \n", + "Mongolia 1 1 1 \n", + "Nepal 1 1 1 \n", + "Noruega 1 1 1 \n", + "Nueva Zelanda 1 1 1 \n", + "Pakistán 10 10 11 \n", + "Palestina 1 1 1 \n", + "Países Bajos 4 2 4 \n", + "Polonia 4 2 4 \n", + "Portugal 3 1 3 \n", + "Reino Unido 17 17 17 \n", + "República Checa 2 2 2 \n", + "Rumania 2 2 2 \n", + "Rusia 18 17 18 \n", + "Serbia 2 2 2 \n", + "Singapur Malasia 1 1 2 \n", + "Siria 2 2 2 \n", + "Sri Lanka 2 1 2 \n", + "Suecia 2 0 2 \n", + "Suiza 1 1 1 \n", + "Tailandia 3 1 3 \n", + "Taiwán 5 0 5 \n", + "Turkmenistán 1 1 1 \n", + "Turquía 10 10 10 \n", + "Ucrania 9 9 9 \n", + "Uzbekistán 1 1 1 \n", + "Vietnam 3 3 3 \n", + "Yemen 1 1 1 \n", + "\n", + "[67 rows x 7 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#3. Agrupar por numero de paises y las ciudades que aparecen en la lista\n", + "wiki3_df.groupby('País').count()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "wiki3_df.to_csv('wiki3_df2.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/msft_df.csv b/msft_df.csv new file mode 100644 index 0000000..9205edb --- /dev/null +++ b/msft_df.csv @@ -0,0 +1,6 @@ +2019-07-22 16:00:00,2019-07-22 15:55:00,2019-07-22 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b/wiki3_df.csv @@ -0,0 +1,840 @@ +Ciudad,Fecha y fuente,País,Población según Citypopulation (2015),Población según Citypopulation (2016),Población según Citypopulation[1]​,Población según Demographia (2015),Población según Demographia[2]​,Población según ONU (2015),Población según ONU[3]​,Población según último censo,Población según último censo oficial,Posición +Cantón,2010,China,,,45 600 000,,42 941 000,,45 553 000,,39 264 086,1 +Tokio,2020,Japón,,,40 200 000,,38 001 000,,37 843 000,,8 945 695,2 +Shanghái,2010,China,,,35 900 000,,29 213 000,,30 539 000,,10 558 121,3 +Yakarta,2010,Indonesia,,,30 600 000,,11 399 000,,30 477 000,,25 420 288,4 +Delhi,2011,India,,,29 400 000,,25 703 000,,24 998 000,,16 349 831,5 +Manila,2010,Filipinas,,,25 200 000,,12 946 000,,24 123 000,,1 652 171,6 +Seúl,2010,Corea del Sur,,,24 700 000,,13 558 000,,23 480 000,,23 836 272,7 +Bombay,2011,India,,,24 700 000,,21 043 000,,21 732 000,,19 617 302,8 +Ciudad de México,2015,México,,,22 800 000,,22 452 000,,20 063 000,,20 892 724,9 +Nueva York,2010,Estados Unidos,,,22 400 000,,19 532 000,,20 630 000,,19 556 440,10 +São Paulo,2010,Brasil,,,22 200 000,,21 066 000,,20 365 000,,19 683 975,11 +El Cairo,2006,Egipto,,,20 500 000,,13 123 000,,13 123 000,,7 740 018,12 +Pekín,2010,China,,,20 400 000,,13 123 000,,13 123 000,,16 446 857,13 +Daca,2011,Bangladés,,,19 500 000,,17 598 000,,15 669 000,,14 543 124,14 +Lagos,1991,Nigeria,,,18 800 000,,18 772 000,,15 600 000,,5 195 247,15 +Bangkok,2010,Tailandia,,,18 300 000,,11 084 000,,14 998 000,,8 986 218,16 +Los Ángeles,2010,Estados Unidos,,,17 800 000,,14 504 000,,15 058 000,,17 053 905,17 +Osaka,2010,Japón,,,17 700 000,,20 238 000,,17 444 000,,2 665 314,18 +Karachi,2011,Pakistán,,,17 300 000,,16 618 000,,22 123 000,,21 142 625,19 +Moscú,2010,Rusia,,,17 200 000,,12 166 000,,16 170 000,,11 612 885,20 +Calcuta,2011,India,,,16 600 000,,14 865 000,,14 667 000,,14 057 991,21 +Buenos Aires,2017,Argentina,,,16 300 000,,18 086 000,,14 122 000,,13 588 171,22 +Estambul,2015,Turquía,,,15 800 000,,14 164 000,,13 287 000,,14 657 000,23 +Teherán,2011,Irán,,,15 000 000,,10 239 000,,13 532 000,,9 768 677,24 +Londres,2011,Reino Unido,,,14 700 000,,10 313 000,,10 236 000,,11 140 445,25 +Johannesburgo,2009,Sudáfrica,,,13 700 000,,12 613 000,,12 066 000,,10 002 039,26 +Tianjin,2010,China,,,13 200 000,,11 210 000,,10 920 000,,9 290 263,28 +Río de Janeiro,2010,Brasil,,,13 100 000,,12 902 000,,11 727 000,,11 835 708,27 +Lahore,1998,Pakistán,,,12 600 000,,8 741 000,,10 052 000,,5 143 495,29 +Kinsasa,2004,República Democrática del Congo,,,12 000 000,,11 587 000,,11 587 000,,7 273 947,30 +Bangalore,2011,India,,,11 800 000,,10 087 000,,9 807 000,,8 520 435,31 +París,1999,Francia,,,11 400 000,,10 843 000,,10 858 000,,9 738 809,32 +Madrás,2011,India,,,11 000 000,,9 890 000,,9 714 000,,8 653 521,33 +Nagoya,2010,Japón,,,11 500 000,,9 406 000,,10 177 000,,2 263 894,34 +Lima,2007,Perú,,,9 900 000,,10 247 000,,11 150 000,,9 789 000,35 +Xiamen,2018,China,,,9 900 000,,5 825 000,,11 130 000,,4 273 841,36 +Hyderabad,2011,India,,,9 850 000,,8 942 000,,8 754 000,,7 677 018,37 +Bogotá,2017,Colombia,,,9 800 000,,8 197 000,,8 950 932,,8 950 000,38 +Chengdu,2010,China,,,9 800 000,,7 556 000,,10 376 000,,6 316 922,39 +Chicago,2010,Estados Unidos,,,9 750 000,,8 745 000,,9 156 000,,9 461 537,40 +Taipéi,2017,Taiwán,,,9 100 000,,2 666 000,,7 438 000,,---,41 +Wuhan,2010,China,,,8 850 000,,8 467 000,,8 625 000,,6 787 819,42 +Kuala Lumpur,2002,Malasia,,,8 700 000,,5 507 000,,5 225 000,,4 656 690,43 +Ciudad Ho Chi Minh,2009,Vietnam,,,8 600 000,,7 298 000,,8 957 000,,5 880 615,44 +Washington D. C.,2010,Estados Unidos,,,8 550 000,,7 222 000,,7 152 000,,8 347 003,45 +Hangzhou,2010,China,,,8 300 000,,8 467 000,,9 625 000,,6 887 819,46 +Ahmedabad,2011,India,,,8 250 000,,7 343 000,,7 186 000,,6 357 693,47 +Chongqing,2010,China,,,8 050 000,,13 332 000,,7 217 000,,6 263 790,48 +Luanda,2014,Angola,,,7 900 000,,5 506 000,,5 899 000,,6 377 246,49 +Santiago de Chile,2017,Chile,,,7 960 000,,6 837 000,,7 288 000,,7 306 944,50 +Shenyang,2010,China,,,7 900 000,,7 613 000,,7 402 000,,7 037 040,51 +San Francisco-San José,2010,Estados Unidos,,,7 850 000,,5 030 000,,5 929 000,,6 172 501,52 +Singapur - Johor Bahru,2010 2000,Singapur Malasia,,,7 800 000,,6 531 000,,7 312 000,,5 719 644,53 +Riad,2010,Arabia Saudita,,,7 750 000,,6 370 000,,5 666 000,,5 188 286,54 +Shantou,2010,China,,,7 700 000,,6 287 000,,6 337 000,,5 775 239,55 +Boston (incluyendo Providence),2010,Estados Unidos,,,7 650 000,,5 445 000,,5 679 000,,6 153 628,56 +Hong Kong,2011,China,,,7 450 000,,7 314 000,,7 246 000,,7 071 576,57 +Filadelfia,2010,Estados Unidos,,,7 350 000,,5 585 000,,5 570 000,,5 965 368,58 +Toronto,2011,Canadá,,,7 350 000,,5 993 000,,6 456 000,,5 583 064,59 +Dallas,2010,Estados Unidos,,,7 100 000,,5 703 000,,6 174 000,,6 426 210,60 +Bagdad,1987,Irak,,,6 850 000,,6 643 000,,6 625 000,,3 841 268,61 +Bandung,2010,Indonesia,,,6 850 000,,2 544 000,,5 695 000,,2 394 873,62 +Xi'an,2010,China,,,6 800 000,,6 044 000,,5 977 000,,5 206 253,63 +Nankín,2010,China,,,6 700 000,,6 369 000,,6 155 000,,5 827 888,64 +Pune,2011,India,,,6 700 000,,5 728 000,,5 631 000,,5 057 709,65 +Houston,2010,Estados Unidos,,,6 600 000,,5 636 000,,5 764 000,,5 920 490,66 +Madrid,2011,España,,,6 450 000,,6 199 000,,6 171 000,,3 198 645,67 +Miami,2010,Estados Unidos,,,6 350 000,,5 817 000,,5 764 000,,5 566 299,68 +Surat,2011,India,,,6 350 000,,5 650 000,,5 447 000,,4 591 246,69 +Jartum,2008,Sudán,,,6 150 000,,5 126 000,,5 125 000,,4 272 728,70 +Dar es-Salam,2012,Tanzania,,,6 150 000,,5 116 000,,4 219 000,,4 364 541,71 +Nairobi,2009,Kenia,,,5 950 000,,3 915 000,,4 738 000,,3 133 518,72 +Qingdao,2010,China,,,5 950 000,,4 566 000,,5 816 000,,3 990 942,73 +Atlanta,2010,Estados Unidos,,,5 800 000,,5 142 000,,5 015 000,,5 286 727,74 +Alejandría,2006,Egipto,,,5 700 000,,4 778 000,,4 689 000,,4 028 028,75 +Detroit - Windsor,2010 2011,Estados Unidos Canadá,,,5 700 000,,3 954 000,,3 947 000,,4 615 559,76 +Región del Ruhr,2011,Alemania,,,5 700 000,,---,,---,,---,77 +San Petersburgo,2010,Rusia,,,5 600 000,,4 993 000,,5 126 000,,4 879 566,78 +Rangún,2014,Birmania,,,5 500 000,,4 802 000,,4 800 000,,4 728 524,79 +Abiyán,2014,Costa de Marfil,,,5 450 000,,4 860 000,,4 800 000,,4 395 243,80 +Amán,2015,Jordania,,,5 450 000,,4 778 000,,4 689 000,,4 028 028,81 +Zhengzhou,2010,China,,,5 350 000,,4 387 000,,4 942 000,,3 677 032,82 +Guadalajara,2010,México,,,5 250 000,,4 843 000,,4 603 000,,4 495 182,83 +Wenzhou,2010,China,,,5 250 000,,3 208 000,,4 303 000,,3 614 208,84 +Milán,2011,Italia,,,5 200 000,,3 099 000,,5 257 000,,1 242 123,85 +Sídney,2011,Australia,,,5 200 000,,4 505 000,,4 036 000,,4 028 525,86 +Harbin,2010,China,,,5 150 000,,5 457 000,,4 815 000,,4 596 313,86 +Colonia - Düsseldorf,2011,Alemania,,,5 000 000,,1 640 000,,8 783 000,,1 591 866,88 +Ankara,2000,Turquía,,,4 975 000,,4 750 000,,4 538 000,,3 203 362,89 +Belo Horizonte,2010,Brasil,,,4 975 000,,5 716 000,,4 517 000,,5 414 701,90 +Acra,2010,Ghana,,,4 950 000,,2 277 000,,4 145 000,,2 070 463,91 +Monterrey,2010,México,,,4 925 000,,4 513 000,,4 083 000,,1 135512,92 +Dubai,2016,Emiratos Árabes Unidos,,,4 900 000,,4 161 000,,4 000 000,,3 900 390,93 +Melbourne,2010,Australia,,,4 850 000,,5 258 000,,4 693 000,,1 611 013,94 +Chittagong,2011,Bangladés,,,4 825 000,,4 539 000,,3 176 000,,4 009 423,95 +Hefei,2010,China,,,4 825 000,,3 348 000,,3 665 000,,3 098 727,96 +Jeddah,2010,Arabia Saudita,,,4 775 000,,4 161 000,,4 000 000,,3 900 390,97 +Berlín,2011,Alemania,,,4 750 000,,3 563 000,,4 069 000,,3 292 365,98 +Changsha,2012,China,,,4 750 000,,707 000,,2 180 000,,561 314,99 +Barcelona,2011,España,,,4 725 000,,5 258 000,,4 693 000,,1 611 013,100 +Lagos,1991.0,Nigeria,,17.100.000,,13.123.000,,13.123.000,,5.195.247,,1 +El Cairo,2006.0,Egipto,,16.800.000,,15.600.000,,18.772.000,,7.740.018[n 1]​,,2 +Johannesburgo (incl. Pretoria - Vereeniging),2009.0,Sudáfrica,,13.400.000,,12.066.000[n 3]​,,12.613.000[n 2]​,,10.002.039[n 4]​,,3 +Kinsasa,2004.0,República Democrática del Congo,,10.600.000,,11.587.000,,11.587.000,,7.273.947,,4 +Casablanca,2014.0,Marruecos,,10.150.000,,5.899.000,,5.506.000,,6.377.246,,5 +Jartum,2008.0,Sudán,,5.550.000,,5.125.000,,5.126.000,,4.272.728,,6 +Dar es-Salam,2012.0,Tanzania,,5.300.000,,4.219.000,,5.116.000,,4.364.541,,7 +Alejandría,2006.0,Egipto,,5.150.000,,4.689.000,,4.778.000,,4.028.028,,8 +Nairobi,2009.0,Kenia,,5.200.000,,4.738.000,,3.915.000,,3.133.518,,9 +Abiyán,2014.0,Costa de Marfil,,5.050.000,,4.800.000,,4.860.000,,4.395.243,,10 +Acra,2010.0,Ghana,,4.575.000,,4.145.000,,2.277.000,,2.070.463[n 1]​,,11 +Luanda,2014.0,Angola,,4.175.000,,3.211.000,,3.515.000,,3.359.818,,12 +Ciudad del Cabo,2009.0,Sudáfrica,,4.125.000,,3.812.000,,3.660.000,,3.430.992,,13 +Kano,1991.0,Nigeria,,4.125.000,,3.555.000,,3.587.000,,2.166.554,,14 +Argel,2008.0,Argelia,,3.675.000,,2.590.000,,2.594.000,,2.364.230[n 1]​,,15 +Adís Abeba,2007.0,Etiopía,,3.475.000,,3.376.000,,3.238.000,,2.739.551,,16 +Dakar,2013.0,Senegal,,3.300.000,,3.520.000,,3.520.000,,3.026.316,,17 +Durban,2009.0,Sudáfrica,,3.225.000,,3.421.000,,2.901.000,,2.786.046,,18 +Ibadán,1991.0,Nigeria,,3.150.000,,3.160.000,,3.375.000,,1.835.300,,19 +Kampala,2014.0,Uganda,,3.025.000,,1.930.000,,1.936.000,,1.516.210[n 1]​,,20 +Bamako,2009.0,Malí,,2.950.000,,2.500.000,,2.515.000,,1.810.366,,21 +Duala,2005.0,Camerún,,2.825.000,,2.940.000,,2.943.000,,1.906.962,,22 +Abuya,1991.0,Nigeria,,2.825.000,,2.440.000,,2.440.000,,107.069,,23 +Yaundé,2005.0,Camerún,,2.725.000,,3.060.000,,3.066.000,,1.817.524,,24 +Kumasi,2010.0,Ghana,,2.675.000,,2.500.000,,2.599.000,,2.035.064,,25 +Túnez,2014.0,Túnez,,2.500.000,,1.990.000,,1.993.000,,2.359.721,,26 +Harare,2012.0,Zimbabue,,2.325.000,,2.203.000,,1.501.000,,1.485.231,,27 +Lusaka,2010.0,Zambia,,2.275.000,,2.190.000,,2.179.000,,1.747.152,,28 +Antananarivo,1993.0,Madagascar,,2.225.000,,2.398.000,,2.610.000,,710.236,,29 +Conakri,2014.0,Guinea,,2.225.000,,1.930.000,,1.936.000,,1.667.864,,30 +Maputo,2007.0,Mozambique,,2.200.000,,2.615.000,,1.187.000,,1.094.628[n 1]​,,31 +Uagadugú,2006.0,Burkina Faso,,2.100.000,,2.700.000,,2.741.000,,1.475.223,,32 +Port Harcourt,1991.0,Nigeria,,2.075.000,,2.340.000,,2.343.000,,703.421,,33 +Rabat,2014.0,Marruecos,,1.920.000,,1.845.000,,1.967.000,,577.827[n 1]​,,34 +Brazzaville,2007.0,República del Congo,,1.900.000,,1.850.000,,1.888.000,,1.373.382,,35 +Lubumbashi,2004.0,República Democrática del Congo,,1.870.000,,2.000.000,,2.015.000,,1.273.380,,36 +Mbuji-Mayi,2004.0,República Democrática del Congo,,1.860.000,,2.000.000,,2.007.000,,1.213.726,,37 +Lomé,2010.0,Togo,,1.820.000,,1.941.000,,956.000,,1.477.658,,38 +Mogadiscio,,Somalia,,1.720.000,,2.120.000,,2.138.000,,,,39 +Kaduna,1991.0,Nigeria,,1.680.000,,1.020.000,,1.048.000,,993.642,,40 +Cotonú,2013.0,Benín,,1.600.000,,871.000,,682.000,,679.012[n 1]​,,41 +Benin City,1991.0,Nigeria,,1.480.000,,1.490.000,,1.496.000,,762.719,,42 +Freetown,2004.0,Sierra Leona,,1.440.000,,1.000.000,,1.007.000,,772.873,,43 +Monrovia,2008.0,Liberia,,1.340.000,,1.100.000,,1.264.000,,1.021.762,,44 +Orán,2008.0,Argelia,,1.340.000,,850.000,,858.000,,803.329,,45 +Yamena,2009.0,Chad,,1.210.000,,1.260.000,,1.260.000,,951.418,,46 +Port Elizabeth,2011.0,Sudáfrica,,1.210.000,,1.212.000,,1.179.000,,876.436,,47 +Fez,2014.0,Marruecos,,1.200.000,,1.193.000,,1.172.000,,1.120.072,,48 +Mombasa,2009.0,Kenia,,1.120.000,,1.116.000,,1.104.000,,915.101,,49 +Niamey,2012.0,Níger,,1.120.000,,1.090.000,,1.090.000,,978.029,,50 +Trípoli,1984.0,Libia,,1.110.000,,1.110.000,,1.126.000,,591.062,,51 +Agadir,2014.0,Marruecos,,1.090.000,,608.000,,590.000,,421.844[n 1]​,,52 +Onitsha,1991.0,Nigeria,,1.070.000,,1.100.000,,1.109.000,,350.280,,53 +Lilongüe,2008.0,Malaui,,1.070.000,,900.000,,905.000,,674.448,,54 +Marrakech,2014.0,Marruecos,,1.060.000,,1.173.000,,1.134.000,,928.850,,55 +Nuakchot,2013.0,Mauritania,,1.060.000,,950.000,,968.000,,958.399,,56 +Bangui,2003.0,República Centroafricana,,1.060.000,,790.000,,794.000,,622.771,,57 +Maiduguri,1991.0,Nigeria,,1.060.000,,925.000,,728.000,,618.278,,58 +Aba,1991.0,Nigeria,,1.040.000,,940.000,,944.000,,500.183,,59 +Susa,2014.0,Túnez,,1.040.000,,---,,---,,978.968,,60 +Kigali,2012.0,Ruanda,,1.000.000,,1.121.000,,1.257.000,,859.332,,61 +Huambo,1970.0,Angola,,---,,1.260.000,,1.269.000,,61.885,,62 +Kananga,2004.0,República Democrática del Congo,,---,,1.150.000,,1.169.000,,720.362,,63 +Kisangani,2004.0,República Democrática del Congo,,---,,1.000.000,,1.040.000,,682.599,,64 +Zaria,1991.0,Nigeria,,---,,1.025.000,,703.000,,612.257,,65 +Ciudad de México (incluyendo la zona metropolitana del valle de México),2010,México,,22.100.000,,20.063.000,,22.452.000,,8.555.272[n 1]​,,1 +Nueva York,2010,Estados Unidos,,22.000.000,,20.630.000,,19.532.000,,19.556.440,,2 +Los Ángeles (incluyendo Riverside y San Bernardino),2010,Estados Unidos,,17.600.000,,15.058.000[n 3]​,,14.504.000[n 2]​,,17.053.905[n 4]​,,3 +Chicago,2010,Estados Unidos,,9.800.000,,9.156.000,,8.745.000,,9.461.537,,4 +Washington D. C. (incluyendo Baltimore),2010,Estados Unidos,,8.350.000,,7.152.000[n 3]​,,7.222.000[n 2]​,,8.347.003[n 4]​,,5 +San Francisco (incluyendo San José),2010,Estados Unidos,,7.600.000,,5.929.000,,5.030.000 [n 2]​,,6.172.501[n 4]​,,6 +Boston (incluyendo Providence),2010,Estados Unidos,,7.350.000,,5.679.000[n 3]​,,5.445.000[n 2]​,,6.153.628[n 4]​,,7 +Filadelfia,2010,Estados Unidos,,7.300.000,,5.570.000,,5.585.000,,5.965.368,,8 +Toronto,2011,Canadá,,7.100.000,,6.456.000,,5.993.000,,5.583.064,,9 +Dallas,2010,Estados Unidos,,6.550.000,,6.174.000,,5.703.000,,6.426.210,,10 +Houston,2010,Estados Unidos,,6.200.000,,5.764.000,,5.636.000,,5.920.490,,11 +Miami,2010,Estados Unidos,,6.100.000,,5.764.000,,5.817.000,,5.566.299,,12 +Detroit - Windsor,2010 2011,Estados Unidos Canadá,,5.700.000,,3.947.000[n 3]​,,3.954.000[n 2]​,,4.615.559[n 4]​,,13 +Atlanta,2010,Estados Unidos,,5.500.000,,5.015.000,,5.142.000,,5.286.727,,14 +Guadalajara,2010,México,,4.975.000,,4.603.000,,4.843.000,,1.495.182[n 1]​,,15 +Monterrey,2010,México,,4.650.000,,4.083.000,,4.513.000,,1.135.512[n 1]​,,16 +Phoenix,2010,Estados Unidos,,4.325.000,,4.194.000,,4.063.000,,4.193.127,,17 +Montreal,2011,Canadá,,4.100.000,,3.536.000,,3.981.000,,3.824.221,,18 +Seattle,2010,Estados Unidos,,4.075.000,,3.218.000,,3.249.000,,3.439.815,,19 +Tampa,2010,Estados Unidos,,4.025.000,,2.621.000,,2.659.000,,2.783.514,,20 +Denver,2010,Estados Unidos,,3.525.000,,2.559.000,,2.599.000,,2.543.594,,21 +San Diego,2010,Estados Unidos,,3.275.000,,3.086.000,,3.107.000,,3.095.308,,22 +Cleveland,2010,Estados Unidos,,3.075.000,,1.783.000,,1.773.000,,2.077.246,,23 +Orlando,2010,Estados Unidos,,3.075.000,,2.040.000,,1.731.000,,2.134.418,,24 +Minneapolis,2010,Estados Unidos,,3.050.000,,2.771.000,,2.791.000,,3.348.857,,25 +Puebla de Zaragoza,2010,México,,2.975.000,,2.088.000,,2.984.000,,1.434.062[n 1]​,,26 +Cincinnati,2010,Estados Unidos,,2.725.000,,1.682.000,,1.688.000,,2.114.755,,27 +Vancouver,2011,Canadá,,2.500.000,,2.273.000,,2.485.000,,2.313.328,,28 +Saint Louis,2010,Estados Unidos,,2.350.000,,2.186.000,,2.184.000,,2.787.752,,29 +Salt Lake City,2010,Estados Unidos,,2.300.000,,1.085.000,,1.096.000,,1.087.873,,30 +Portland,2010,Estados Unidos,,2.275.000,,1.976.000,,2.001.000,,2.226.011,,31 +Charlotte,2010,Estados Unidos,,2.275.000,,1.535.000,,1.616.000,,2.217.248,,32 +Toluca de Lerdo,2010,México,,2.150.000,,1.878.000,,2.164.000,,489.333[n 1]​,,33 +Las Vegas,2010,Estados Unidos,,2.075.000,,2.191.000,,2.270.000,,1.951.269,,34 +Pittsburgh,2010,Estados Unidos,,2.075.000,,1.730.000,,1.719.000,,2.356.285,,35 +San Antonio,2010,Estados Unidos,,2.050.000,,1.976.000,,2.030.000,,2.142.518,,36 +Sacramento,2010,Estados Unidos,,1.980.000,,1.885.000,,1.920.000,,2.149.143,,37 +Kansas City,2010,Estados Unidos,,1.920.000,,1.593.000,,1.604.000,,2.009.338,,38 +Indianápolis,2010,Estados Unidos,,1.910.000,,1.617.000,,1.646.000,,1.888.082,,39 +Tijuana,2010,México,,1.880.000,,1.968.000,,1.987.000,,1.300.983[n 1]​,,40 +León,2010,México,,1.800.000,,1.469.000,,1.807.000,,1.238.962[n 1]​,,41 +Austin,2010,Estados Unidos,,1.740.000,,1.616.000,,1.684.000,,1.716.303,,42 +Hartford,2010,Estados Unidos,,1.700.000,,960.000,,963.000,,1.212.387,,43 +Columbus,2010,Estados Unidos,,1.640.000,,1.481.000,,1.505.000,,1.902.015,,44 +Virginia Beach,2010,Estados Unidos,,1.610.000,,1.463.000,,1.460.000,,1.676.817,,45 +Milwaukee,2010,Estados Unidos,,1.540.000,,1.408.000,,1.409.000,,1.555.954,,46 +Raleigh,2010,Estados Unidos,,1.524.000,,1.085.000,,1.140.000,,1.130.490,,47 +Ciudad Juárez,2010,México,,1.513.000,,1.391.000,,1.440.000,,1.321.004[n 1]​,,48 +Calgary,2011,Canadá,,1.470.000,,1.189.000,,1.397.000,,1.214.839,,49 +Búfalo - St. Catharines,2010 2011,Estados Unidos Canadá,,1.450.000,,1.232.000 [n 3]​,,1.396.000 [n 2]​,,1.527.725 [n 4]​,,50 +Nashville,2010,Estados Unidos,,1.430.000,,1.081.000,,1.255.000,,1.670.900,,51 +Jacksonville,2010,Estados Unidos,,1.390.000,,1.154.000,,1.272.000,,1.345.596,,52 +Torreón,2010,México,,1.373.000,,1.327.000,,1.332.000,,608.836[n 1]​,,53 +Harrisburg,2010,Estados Unidos,,1.370.000,,484.000,,493.000,,549.473,,54 +Santiago de Querétaro,2010,México,,1.280.000,,1.249.000,,1.267.000,,626.495[n 1]​,,55 +Edmonton,2011,Canadá,,1.270.000,,1.040.000,,1.272.000,,1.159.869,,56 +McAllen,2010,Estados Unidos,,1.270.000,,838.000,,864.000,,774.773,,57 +Stockton,2010,Estados Unidos,,1.200.000,,371.000,,403.000,,685.308,,58 +Ottawa,2011,Canadá,,1.180.000,,994.000,,1.326.000,,1.236.324,,59 +San Luis Potosí,2010,México,,1.150.000,,1.137.000,,1.147.000,,722.772[n 1]​,,60 +Memphis,2010,Estados Unidos,,1.150.000,,1.102.000,,1.106.000,,1.324.829,,61 +Melbourne,2010,Estados Unidos,,1.110.000,,482.000,,486.000,,543.378,,62 +Oklahoma City,2010,Estados Unidos,,1.090.000,,917.000,,926.000,,1.252.992,,63 +Greensboro,2010,Estados Unidos,,1.090.000,,334.000,,337.000,,723.798,,64 +Mérida,2010,México,,1.070.000,,1.111.000,,1.068.000,,777.615[n 1]​,,65 +Aguascalientes,2010,México,,1.060.000,,1.020.000,,1.031.000,,722.250[n 1]​,,66 +Louisville,2010,Estados Unidos,,1.040.000,,1.025.000,,1.032.000,,1.235.710,,67 +Richmond,2010,Estados Unidos,,1.030.000,,1.018.000,,1.030.000,,1.208.080,,68 +El Paso,2010,Estados Unidos,,1.020.000,,865.000,,877.000,,804.123,,69 +Mexicali,2010,México,,1.010.000,,1.018.000,,1.034.000,,689.775[n 1]​,,70 +Nueva Orleans,2010,Estados Unidos,,1.010.000,,922.000,,921.000,,1.189.863,,71 +Cuernavaca,2010,México,,1.010.000,,990.000,,993.000,,338.650[n 1]​,,72 +Chihuahua,2010,México,,1.002.000,,940.000,,941.000,,809.232,,73 +Saltillo,2010,México,,994.000,,917.000,,932.000,,709.671,,74 +Acapulco,2010,México,,977.000,,812.000,,920.000,,297.284 [n 1]​,,75 +Santo Domingo,2010.0,República Dominicana,,3.650.000,,2.925.000,,2.945.000,,2.581.827[n 1]​,,1 +Ciudad de Guatemala,2002.0,Guatemala,,3.000.000,,1.289.000,,2.918.000,,942.348[n 1]​,,2 +Puerto Príncipe,2003.0,Haití,,2.850.000,,2.440.000,,2.440.000,,703.023[n 1]​,,3 +La Habana,2012.0,Cuba,,2.225.000,,2.130.000,,2.137.000,,2.106.146,,4 +San Juan,2010.0,Puerto Rico,,2.150.000,,2.139.000,,2.463.000,,2.350.306,,5 +San José,,Costa Rica,,1.840.000,,1.170.000,,1.170.000,,,,6 +San Salvador,2007.0,El Salvador,,1.820.000,,1.100.000,,1.098.000,,316.090[n 1]​,,7 +Panamá,2010.0,Panamá,,1.460.000,,1.498.000,,1.673.000,,430.299[n 1]​,,8 +Managua,2005.0,Nicaragua,,1.340.000,,980.000,,956.000,,908.892,,9 +San Pedro Sula,2001.0,Honduras,,1.110.000,,---,,852.000,,483.384,,10 +Tegucigalpa,2001.0,Honduras,,1.090.000,,1.120.000,,1.123.000,,819.867,,11 +"Cantón (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)",2010,China,46.900.000,,,45.553.000,,42.941.000,,39.264.086,,1 +Tokio,2010,Japón,39.500.000,,,37.843.000,,38.001.000,,8.945.695,,2 +"Shanghái (incl. Suzhou, Kunshan)",2010,China,30.400.000,,,30.477.000,,29.213.000,,25.420.288,,3 +Yakarta (incluyendo Bogor),2010,Indonesia,30.100.000,,,30.539.000,,11.399.000,,10.558.121,,4 +Delhi,2011,India,28.400.000,,,24.998.000,,25.703.000,,16.349.831,,5 +Karachi,2011,Pakistán,25.300.000,,,22.123.000,,16.618.000,,21.142.625,,6 +Manila,2010,Filipinas,24.600.000,,,24.123.000,,12.946.000,,1.652.171,,7 +Bombay (incluyendo Kalyan y Vasai-Virar),2011,India,24.300.000,,,21.732.000,,21.043.000,,19.617.302,,8 +Seúl (incluyendo Incheon y Suwon),2010,Corea del Sur,24.100.000,,,23.480.000,,10.558.000,,23.836.272,,9 +Daca,2011,Bangladés,22.300.000,,,15.669.000,,17.598.000,,14.543.124,,10 +Pekín,2010,China,20.700.000,,,21.009.000,,20.384.000,,16.446.857,,11 +Osaka,2010,Japón,19.800.000,,,17.444.000,,20.238.000,,2.665.314,,12 +Bangkok (incluyendo Samut Prakan),2010,Tailandia,16.700.000,,,14.998.000,,11.084.000,,8.986.218,,13 +Calcuta,2011,India,15.900.000,,,14.667.000,,14.865.000,,14.057.991,,14 +Teherán (incluyendo Karaj),2011,Irán,13.600.000,,,13.532.000,,10.239.000,,9.768.677,,15 +Tianjin,2010,China,11.200.000,,,10.920.000,,11.210.000,,9.290.263,,16 +Nagoya,2010,Japón,10.400.000,,,10.177.000,,9.406.000,,2.263.894,,17 +Bangalore,2011,India,10.300.000,,,9.807.000,,10.087.000,,8.520.435,,18 +Lahore,1998,Pakistán,9.950.000,,,10.052.000,,8.741.000,,5.143.495,,19 +Madrás,2011,India,9.900.000,,,9.714.000,,9.890.000,,8.653.521,,20 +Xiamen (incluyendl Quanzhou),2010,China,9.850.000,,,11.130.000,,5.825.000,,4.273.841,,21 +Chengdu,2010,China,9.400.000,,,10.376.000,,7.556.000,,6.316.922,,22 +Taipéi,,Taiwán,9.000.000,,,7.438.000,,2.666.000,,,,23 +Hyderabad,2011,India,8.900.000,,,8.754.000,,8.942.000,,7.677.018,,24 +Hangzhou (incluyendo Shaoxing),2010,China,8.150.000,,,9.625.000,,8.467.000,,6.887.819,,25 +Ciudad Ho Chi Minh,2009,Vietnam,8.150.000,,,8.957.000,,7.298.000,,5.880.615,,26 +Wuhan,2010,China,7.950.000,,,7.509.000,,7.906.000,,7.541.527,,27 +"Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)",2010,China,7.850.000,,,6.337.000,,6.287.000,,5.775.239,,28 +Shenyang (incluyendo Fushun),2010,China,7.600.000,,,7.402.000,,7.613.000,,7.037.040,,29 +Ahmedabad,2011,India,7.350.000,,,7.186.000,,7.343.000,,6.357.693,,30 +Hong Kong,2011,Hong Kong,7.200.000,,,7.246.000,,7.314.000,,7.071.576,,31 +Chongqing,2010,China,6.950.000,,,7.217.000,,13.332.000,,6.263.790,,32 +Kuala Lumpur,2000,Malasia,6.950.000,,,7.088.000,,6.837.000,,1.305.792,,33 +Singapur - Johor Bahru,2010 2000,Singapur Malasia,6.900.000,,,7.312.000,,6.531.000,,5.719.644,,34 +Nankín,2010,China,6.750.000,,,6.155.000,,7.369.000,,5.827.888,,35 +Bagdad,1987,Irak,6.750.000,,,6.625.000,,6.643.000,,3.841.268,,36 +Riad,2010,Arabia Saudita,6.550.000,,,5.666.000,,6.370.000,,5.188.286,,37 +Xi'an,2010,China,6.550.000,,,5.977.000,,6.044.000,,5.206.253,,38 +Pune,2011,India,6.000.000,,,5.631.000,,5.728.000,,5.057.709,,39 +Bandung,2010,Indonesia,5.900.000,,,5.695.000,,2.544.000,,2.394.873,,40 +Wenzhou (incluyendo Rui'an),2010,China,5.800.000,,,4.303.000,,3.208.000,,3.614.208,,41 +Qingdao,2010,China,5.650.000,,,5.816.000,,4.566.000,,3.990.942,,42 +Surat,2011,India,5.600.000,,,5.447.000,,5.650.000,,4.591.246,,43 +Harbin,2010,China,5.100.000,,,4.815.000,,5.457.000,,4.596.313,,44 +Rangún,2014,Birmania,5.100.000,,,4.800.000,,4.802.000,,4.728.524,,45 +Kitakyushu - Fukuoka,2010,Japón,4.725.000,,,4.505.000,,5.510.000,,2.440.589,,46 +Surabaya,2010,Indonesia,4.675.000,,,4.881.000,,2.853.000,,2.765.487,,47 +Colombo,2012,Sri Lanka,4.650.000,,,2.180.000,,707.000,,561.314,,48 +Ankara,2000,Turquía,4.625.000,,,4.538.000,,4.750.000,,3.203.362,,49 +Zhengzhou,2010,China,4.600.000,,,4.942.000,,4.387.000,,3.677.032,,50 +Teherán (incluyendo Karaj),2011.0,Irán,13.600.000,,,13.532.000,,10.239.000[n 2]​,,9.768.677[n 4]​,,1 +Bagdad,1987.0,Irak,6.750.000,,,6.625.000,,6.643.000,,3.841.268,,2 +Riad,2010.0,Arabia Saudita,6.550.000,,,5.666.000,,6.370.000,,5.188.286,,3 +Ankara,2000.0,Turquía,4.625.000,,,4.538.000,,4.750.000,,3.203.362,,4 +Yida,2010.0,Arabia Saudita,4.175.000,,,3.677.000,,4.076.000,,3.430.697,,5 +Kuwait,,Kuwait,4.075.000,,,4.283.000,,2.779.000,,,,6 +Dubái (incluyendo Sarja),1995.0,Emiratos Árabes Unidos,3.800.000,,,3.933.000,,3.694.000[n 2]​,,989.276[n 4]​,,7 +Damasco,2004.0,Siria,3.650.000,,,2.560.000,,2.566.000,,1.414.913,,8 +Kabul,1979.0,Afganistán,3.600.000,,,4.635.000,,4.635.000,,913.164,,9 +Amán,2004.0,Jordania,3.325.000,,,2.468.000,,1.155.000,,1.036.330,,10 +Alepo,2004.0,Siria,3.050.000,,,3.560.000,,3.562.000,,2.132.100,,11 +Mashhad,2011.0,Irán,3.050.000,,,3.294.000,,3.014.000,,2.749.374,,12 +Esmirna,2000.0,Turquía,2.925.000,,,3.112.000,,3.040.000,,2.232.265,,13 +Isfahán,2011.0,Irán,2.725.000,,,2.392.000,,1.880.000,,1.756.126,,14 +Taskent,1989.0,Uzbekistán,2.625.000,,,2.250.000,,2.251.000,,2.072.459,,15 +Tel Aviv,1995.0,Israel,2.475.000,,,2.979.000,,3.608.000,,348.245,,16 +Saná,2004.0,Yemen,2.425.000,,,2.980.000,,2.962.000,,1.707.531,,17 +Bakú,1989.0,Azerbaiyán,2.425.000,,,2.661.000,,2.374.000,,1.150.055,,18 +Dammam,2010.0,Arabia Saudita,2.350.000,,,1.019.000,,1.064.000,,903.312,,19 +Bursa,2000.0,Turquía,1.930.000,,,1.839.000,,1.923.000,,1.194.687,,20 +La Meca,2010.0,Arabia Saudita,1.840.000,,,1.647.000,,1.771.000,,1.534.731,,21 +Franja de Gaza,2007.0,Palestina,1.760.000,,,620.000,,624.000,,483.869,,22 +Almaty,1999.0,Kazajistán,1.750.000,,,1.500.000,,1.523.000,,1.365.632,,23 +Mosul,1987.0,Irak,1.680.000,,,1.675.000,,1.694.000,,664.221,,24 +Shiraz,2011.0,Irán,1.680.000,,,1.873.000,,1.661.000,,1.460.665,,25 +Adana,2000.0,Turquía,1.670.000,,,1.830.000,,1.830.000,,1.130.710,,26 +Novosibirsk [n 5]​,2010.0,Rusia,1.640.000,,,1.486.000,,1.497.000,,,,27 +Beirut,1970.0,Líbano,1.630.000,,,2.200.000,,2.226.000,,474.870,,28 +Tabriz,2011.0,Irán,1.610.000,,,1.693.000,,1.572.000,,1.494.998,,29 +Ekaterimburgo [n 5]​,2010.0,Rusia,1.590.000,,,1.361.000,,1.379.000,,1.473.754,,30 +Gaziantep,2000.0,Turquía,1.530.000,,,1.394.000,,1.528.000,,853.513,,31 +Ereván,2011.0,Armenia,1.480.000,,,1.274.000,,1.044.000,,1.060.138,,32 +Cheliábinsk [n 5]​,2010.0,Rusia,1.390.000,,,1.150.000,,1.157.000,,1.130.132,,33 +Basora,1987.0,Irak,1.390.000,,,1.000.000,,1.019.000,,406.296,,34 +Medina,2010.0,Arabia Saudita,1.320.000,,,1.233.000,,1.280.000,,1.100.093,,35 +Ahvaz,2011.0,Irán,1.240.000,,,1.315.000,,1.060.000,,1.112.021,,36 +Tiflis,2002.0,Georgia,1.230.000,,,1.125.000,,1.147.000,,1.073.345,,37 +Konya,2000.0,Turquía,1.190.000,,,1.190.000,,1.194.000,,742.690,,38 +Omsk [n 5]​,2010.0,Rusia,1.180.000,,,1.154.000,,1.162.000,,1.154.116,,39 +Qom,2011.0,Irán,1.160.000,,,1.101.000,,1.204.000,,1.074.036,,40 +Erbil,1987.0,Irak,1.150.000,,,1.150.000,,1.166.000,,485.968,,41 +Antalya,2000.0,Turquía,1.140.000,,,1.070.000,,1.072.000,,603.190,,42 +Asjabad,1989.0,Turkmenistán,1.140.000,,,740.000,,746.000,,401.135,,43 +Abu Dabi,1995.0,Emiratos Árabes Unidos,1.120.000,,,982.000,,1.145.000,,398.695,,44 +Kirkuk,1987.0,Irak,1.110.000,,,650.000,,650.000,,418.624,,45 +Krasnoyarsk [n 5]​,2010.0,Rusia,1.080.000,,,998.000,,1.008.000,,973.826,,46 +Kayseri,2000.0,Turquía,1.050.000,,,900.000,,904.000,,536.392,,47 +Homs,2004.0,Siria,---,,,1.640.000,,1.641.000,,652.609,,48 +Hama,2004.0,Siria,---,,,1.230.000,,1.237.000,,312.994,,49 +Haifa,1995.0,Israel,---,,,1.090.000,,1.097.000,,255.914,,50 +Solimania,1987.0,Irak,---,,,1.000.000,,1.004.000,,364.096,,51 +Diyarbakir,2000.0,Turquía,---,,,920.000,,926.000,,545.983,,52 +Nayaf,2000.0,Irak,---,,,880.000,,889.000,,309.010,,53 +Adén,2004.0,Yemen,---,,,880.000,,882.000,,588.938,,54 +Biskek,2009.0,Kirguistán,---,,,850.000,,865.000,,821.915,,55 +Delhi,2011.0,India,26.000.000,,,24.998.000,,25.703.000,,16.349.831,,1 +Karachi,2011.0,Pakistán,24.000.000,,,22.123.000,,16.618.000,,21.142.625,,2 +Bombay (incluyendo Kalyan y Vasai-Virar),2011.0,India,23.000.000,,,21.732.000 [n 3]​,,21.043.000,,19.617.302[n 4]​,,3 +Daca,2011.0,Bangladés,17.300.000,,,15.669.000,,17.598.000,,14.543.124,,4 +Calcuta,2011.0,India,15.900.000,,,14.667.000,,14.865.000,,14.057.991,,5 +Bangalore,2011.0,India,10.300.000,,,9.807.000,,10.087.000,,8.520.435,,6 +Lahore,1998.0,Pakistán,9.950.000,,,10.052.000,,8.741.000,,5.143.495,,7 +Madrás,2011.0,India,9.900.000,,,9.714.000,,9.890.000,,8.653.521,,8 +Hyderabad,2011.0,India,8.900.000,,,8.754.000,,8.942.000,,7.677.018,,9 +Ahmedabad,2011.0,India,7.350.000,,,7.186.000,,7.343.000,,6.357.693,,10 +Pune,2011.0,India,6.000.000,,,5.631.000,,5.728.000,,5.057.709,,11 +Surat,2011.0,India,5.600.000,,,5.447.000,,5.650.000,,4.591.246,,12 +Colombo,2012.0,Sri Lanka,4.650.000,,,2.180.000,,707.000,,561.314[n 1]​,,13 +Chittagong,2011.0,Bangladés,4.475.000,,,3.176.000,,4.539.000,,4.009.423,,14 +Faisalabad,1998.0,Pakistán,3.900.000,,,3.560.000,,3.567.000,,2.008.861,,15 +Rawalpindi (incluyendo Islamabad),1998.0,Pakistán,3.800.000,,,2.510.000,,3.871.000[n 2]​,,1.938.948[n 4]​,,16 +Jaipur,2011.0,India,3.475.000,,,3.409.000,,3.461.000,,3.046.163,,17 +Lucknow,2011.0,India,3.300.000,,,3.184.000,,3.222.000,,2.902.920,,18 +Kanpur,,India,3.275.000,,,3.037.000,,3.021.000,,2011,,19 +Nagpur,2011.0,India,3.000.000,,,2.668.000,,2.675.000,,2.497.870,,20 +Katmandú,2011.0,Nepal,2.875.000,,,1.180.000,,1.183.000,,1.003.285,,21 +Indore,2011.0,India,2.725.000,,,2.405.000,,2.441.000,,2.170.295,,22 +Bhilai (incluyendo Raipur),2011.0,India,2.500.000,,,2.564.000[n 3]​,,2.503.000[n 2]​,,2.187.780[n 4]​,,23 +Patna,2011.0,India,2.450.000,,,2.200.000,,2.210.000,,2.049.156,,24 +Coimbatore,2011.0,India,2.425.000,,,2.481.000,,2.549.000,,2.136.916,,25 +Gujranwala,1998.0,Pakistán,2.400.000,,,2.120.000,,2.122.000,,1.132.509,,26 +Hyderabad,1998.0,Pakistán,2.400.000,,,2.920.000,,1.772.000,,1.166.894,,27 +Bhopal,2011.0,India,2.150.000,,,2.075.000,,2.102.000,,1.886.100,,28 +Multan,1998.0,Pakistán,2.125.000,,,1.900.000,,1.921.000,,1.197.384,,29 +Vadodara,2011.0,India,2.025.000,,,1.963.000,,1.975.000,,1.822.221,,30 +Agra,2011.0,India,2.025.000,,,1.938.000,,1.966.000,,1.760.285,,31 +Chandigarh,2011.0,India,2.000.000,,,1.124.000,,1.134.000,,1.026.459,,32 +Visakhapatnam,2011.0,India,1.950.000,,,1.910.000,,1.935.000,,1.728.128,,33 +Peshawar,1998.0,Pakistán,1.870.000,,,1.730.000,,1.736.000,,982.816,,34 +Ludhiāna,2011.0,India,1.830.000,,,1.714.000,,1.716.000,,1.618.879,,35 +Nashik,2011.0,India,1.810.000,,,1.749.000,,1.779.000,,1.561.809,,36 +Benarés,2011.0,India,1.770.000,,,1.536.000,,1.541.000,,1.432.280,,37 +Vijayawada,2011.0,India,1.740.000,,,1.715.000,,1.760.000,,1.476.931,,38 +Bhubaneswar,2011.0,India,1.720.000,,,984.000,,999.000,,885.363,,39 +Rajkot,2011.0,India,1.620.000,,,1.568.000,,1.599.000,,1.390.640,,40 +Madurai,2011.0,India,1.620.000,,,1.582.000,,1.593.000,,1.465.625,,41 +Meerut,2011.0,India,1.580.000,,,1.541.000,,1.550.000,,1.420.902,,42 +Aurangabad,2011.0,India,1.570.000,,,1.324.000,,1.344.000,,1.193.167,,43 +Cochín,2011.0,India,1.530.000,,,2.374.000,,2.416.000,,2.119.742,,44 +Jamshedpur,2011.0,India,1.530.000,,,1.443.000,,1.451.000,,1.339.438,,45 +Kolhapur,2011.0,India,1.520.000,,,593.000,,591.000,,561.837,,46 +Asansol,2011.0,India,1.490.000,,,1.315.000,,1.313.000,,1.243.414,,47 +Srinagar,2011.0,India,1.430.000,,,1.409.000,,1.429.000,,1.264.202,,48 +Jabalpur,2011.0,India,1.380.000,,,1.339.000,,1.367.000,,1.268.848,,49 +Allahabad,2011.0,India,1.360.000,,,1.294.000,,1.295.000,,1.212.395,,50 +Jodhpur,2011.0,India,1.300.000,,,1.266.000,,1.284.000,,1.138.300,,51 +Amritsar,2011.0,India,1.300.000,,,1.264.000,,1.265.000,,1.183.549,,52 +Dhanbad,2011.0,India,1.290.000,,,1.258.000,,1.255.000,,1.196.214,,53 +Ranchi,2011.0,India,1.270.000,,,1.246.000,,1.262.000,,1.120.374,,54 +Tirupur,2011.0,India,1.260.000,,,1.177.000,,1.230.000,,963.173,,55 +Gwalior,2011.0,India,1.260.000,,,1.208.000,,1.221.000,,1.117.740,,56 +Kotah,2011.0,India,1.180.000,,,1.138.000,,1.163.000,,1.001.964,,57 +Quetta,1998.0,Pakistán,1.160.000,,,1.100.000,,1.109.000,,565.137,,58 +Bareilly,2011.0,India,1.150.000,,,1.094.000,,1.111.000,,985.752,,59 +Thiruvananthapuram,2011.0,India,1.120.000,,,1.921.000,,1.965.000,,1.679.754,,60 +Tiruchirappalli,2011.0,India,1.120.000,,,1.101.000,,1.106.000,,1.022.518,,61 +Mysore,2011.0,India,1.110.000,,,1.078.000,,1.082.000,,990.900,,62 +Aligarh,2011.0,India,1.080.000,,,1.020.000,,1.037.000,,911.223,,63 +Moradabad,2011.0,India,1.080.000,,,1.004.000,,1.023.000,,887.871,,64 +Khulna,2011.0,Bangladés,1.070.000,,,1.000.000,,1.022.000,,1.046.341,,65 +Guwahati,2011.0,India,1.050.000,,,1.039.000,,1.042.000,,962.334,,66 +Hubli - Dharwad,2011.0,India,1.040.000,,,613.000,,1.020.000,,943.788,,67 +Solapur,2011.0,India,1.030.000,,,991.000,,986.000,,951.558,,68 +Salem,2011.0,India,1.020.000,,,996.000,,1.003.000,,917.414,,69 +Jalandhar,2011.0,India,1.020.000,,,948.000,,954.000,,874.412,,70 +Kozhikode,2011.0,India,---,,,2.394.000,,2.476.000,,2.028.399,,71 +Thrissur,2011.0,India,---,,,2.236.000,,2.329.000,,1.861.269,,72 +Malappuram,2011.0,India,---,,,2.108.000,,2.216.000,,1.699.060,,73 +Cananor,2011.0,India,---,,,2.047.000,,2.153.000,,1.640.986,,74 +Kollam,2011.0,India,---,,,1.351.000,,1.410.000,,1.110.668,,75 +"Cantón (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)",2010.0,China,46.900.000,,,45.553.000[n 3]​,,42.941.000[n 2]​,,39.264.086 [n 4]​,,1 +Tokio,2010.0,Japón,39.500.000,,,37.843.000,,38.001.000,,8.945.695[n 1]​,,2 +Shanghái (incluyendo Suzhou y Kunshan),2010.0,China,30.400.000,,,30.477.000[n 3]​,,29.213.000[n 2]​,,25.420.288 [n 4]​,,3 +Seúl (incluyendo Incheon y Suwon),2010.0,Corea del Sur,24.300.000,,,23.480.000,,13.558.000[n 2]​,,23.836.272,,4 +Pekín,2010.0,China,20.700.000,,,21.009.000,,20.384.000,,16.446.857,,5 +Osaka,2010.0,Japón,17.800.000,,,17.444.000,,20.238.000,,2.665.314[n 1]​,,6 +Tianjin,2010.0,China,11.200.000,,,10.920.000,,11.210.000,,9.290.263,,7 +Nagoya,2010.0,Japón,10.400.000,,,10.177.000,,9.406.000,,2.263.894[n 1]​,,8 +Xiamen (incluyendo Quanzhou),2010.0,China,9.850.000,,,11.130.000[n 3]​,,5.825.000[n 2]​,,4.273.841 [n 4]​,,9 +Chengdu,2010.0,China,9.400.000,,,10.376.000,,7.556.000,,6.316.922,,10 +Taipéi,,Taiwán,9.000.000,,,7.438.000,,2.666.000,,,,11 +Hangzhou (incluyendo Shaoxing),2010.0,China,8.150.000,,,9.625.000[n 3]​,,8.467.000[n 2]​,,6.887.819,,12 +Wuhan,2010.0,China,7.950.000,,,7.509.000,,7.906.000,,7.541.527,,13 +"Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)",2010.0,China,7.850.000,,,6.337.000[n 3]​,,6.287.000[n 2]​,,5.775.239 [n 4]​,,14 +Shenyang (incluyendo Fushun),2010.0,China,7.600.000,,,7.402.000[n 3]​,,7.613.000[n 2]​,,7.037.040,,15 +Hong Kong,2011.0,Hong Kong,7.200.000,,,7.246.000,,7.314.000,,7.071.576,,16 +Chongqing,2010.0,China,6.950.000,,,7.217.000,,13.332.000,,6.263.790,,17 +Nankín,2010.0,China,6.750.000,,,6.155.000,,7.369.000,,5.827.888,,18 +Xi'an,2010.0,China,6.550.000,,,5.977.000,,6.044.000,,5.206.253,,19 +Wenzhou (incluyendo Rui'an),2010.0,China,5.800.000,,,4.303.000[n 3]​,,3.208.000,,3.614.208 [n 4]​,,20 +Qingdao,2010.0,China,5.650.000,,,5.816.000,,4.566.000,,3.990.942,,21 +Harbin,2010.0,China,5.100.000,,,4.815.000,,5.457.000,,4.596.313,,22 +Kitakyushu - Fukuoka,2010.0,Japón,4.725.000[n 6]​,,,4.505.000[n 3]​,,5.510.000,,2.440.589 [n 4]​,,23 +Zhengzhou,2010.0,China,4.600.000,,,4.942.000,,4.387.000,,3.677.032,,24 +Hefei,2010.0,China,4.475.000,,,3.665.000,,3.348.000,,3.098.727,,25 +Dalian,2010.0,China,4.425.000,,,4.183.000,,4.489.000,,3.902.467,,26 +Changsha,2010.0,China,4.375.000,,,3.657.000,,3.761.000,,3.193.354,,27 +Busán,2010.0,Corea del Sur,4.250.000,,,3.906.000,,3.216.000,,3.414.950,,28 +Taiyuan,2010.0,China,4.150.000,,,3.702.000,,3.482.000,,3.154.157,,29 +Kunming,2010.0,China,3.925.000,,,3.649.000,,3.780.000,,3.278.777,,30 +Jinan,2010.0,China,3.900.000,,,3.789.000,,4.032.000,,3.527.566,,31 +Fuzhou,2010.0,China,3.875.000,,,3.962.000,,3.283.000,,2.824.414,,32 +Shijiazhuang,2010.0,China,3.775.000,,,3.367.000,,3.264.000,,2.770.344,,33 +Changchun,2010.0,China,3.675.000,,,3.368.000,,3.762.000,,3.411.209,,34 +Nanchang,2010.0,China,3.600.000,,,2.637.000,,2.527.000,,2.223.661,,35 +Ürümqi,2010.0,China,3.550.000,,,3.184.000,,3.499.000,,2.853.398,,36 +Ningbo,2010.0,China,3.300.000,,,3.753.000,,3.132.000,,2.580.073,,37 +Zibo,2010.0,China,3.300.000,,,1.646.000,,2.430.000,,2.261.717,,38 +Wuxi,2010.0,China,3.225.000,,,3.597.000,,3.049.000,,2.757.736,,39 +Nanning,2010.0,China,3.150.000,,,2.590.000,,3.234.000,,2.660.833,,40 +Guiyang,2010.0,China,2.850.000,,,2.955.000,,2.871.000,,2.520.061,,41 +Lanzhou,2010.0,China,2.825.000,,,2.703.000,,2.723.000,,2.438.595,,42 +Pionyang,2008.0,Corea del Norte,2.800.000,,,2.850.000,,2.863.000,,2.581.076,,43 +Kaohsiung,,Taiwán,2.775.000,,,2.599.000,,1.523.000,,,,44 +Huizhou,2010.0,China,2.750.000,,,1.763.000,,2.312.000,,1.807.858,,45 +Daegu,2010.0,Corea del Sur,2.750.000,,,2.382.000,,2.244.000,,2.446.418,,46 +Changzhou,2010.0,China,2.625.000,,,3.425.000,,2.584.000,,2.257.376,,47 +Jiangyin,2010.0,China,2.625.000,,,3.056.000,,686.000,,1.013.670,,48 +Xuzhou,2010.0,China,2.525.000,,,1.301.000,,1.918.000,,2.214.795,,49 +Anshan,2010.0,China,2.500.000,,,1.516.000,,1.559.000,,1.504.996,,50 +Sapporo,2010.0,Japón,2.475.000,,,2.570.000,,2.571.000,,1.913.545[n 1]​,,51 +Shizuoka - Hamamatsu,2010.0,Japón,2.470.000[n 6]​,,,2.018.000[n 3]​,,3.369.000,,1.517.063 [n 4]​,,52 +Tangshan,2010.0,China,2.425.000,,,2.378.000,,2.743.000,,2.128.191,,53 +Taichung,,Taiwán,2.350.000,,,2.935.000,,1.225.000,,,,54 +Okayama,2010.0,Japón,2.200.000,,,707.000,,502.000,,709.584[n 1]​,,55 +Baotou,2010.0,China,2.125.000,,,2.159.000,,1.957.000,,1.900.373,,56 +Yantai,2010.0,China,2.075.000,,,1.520.000,,2.114.000,,1.797.871,,57 +Taizhou (incluyendo Wenling),2010.0,China,2.050.000,,,2.835.000[n 3]​,,1.648.000,,1.938.289 [n 4]​,,58 +Cixi,2010.0,China,2.050.000,,,1.490.000,,1.303.000,,1.059.942,,59 +Luoyang,2010.0,China,1.940.000,,,1.939.000,,2.015.000,,1.584.463,,60 +Nantong,2010.0,China,1.910.000,,,1.184.000,,1.978.000,,1.612.385,,61 +Liuzhou,2010.0,China,1.890.000,,,1.574.000,,1.619.000,,1.410.712,,62 +Hiroshima,2010.0,Japón,1.870.000,,,1.377.000,,2.173.000,,1.173.843 [n 1]​,,63 +Huai'an,2010.0,China,1.840.000,,,2.282.000,,2.000.000,,1.523.655,,64 +Haikou,2010.0,China,1.770.000,,,1.981.000,,1.903.000,,1.517.410,,65 +Yangzhou,2010.0,China,1.760.000,,,1.561.000,,1.765.000,,1.077.531,,66 +Hohhot,2010.0,China,1.750.000,,,2.219.000,,1.785.000,,1.497.110,,67 +Huainan,2010.0,China,1.740.000,,,1.142.000,,1.327.000,,1.238.488,,68 +Linyi,2010.0,China,1.700.000,,,2.465.000,,1.706.000,,1.522.488,,69 +Hengyang,2010.0,China,1.680.000,,,987.000,,1.301.000,,1.115.645,,70 +Daejeon,2010.0,Corea del Sur,1.600.000,,,1.564.000,,1.564.000,,1.501.859,,71 +Weifang (incluyendo Zhucheng),2010.0,China,1.590.000,,,2.636.000[n 3]​,,2.195.000,,1.848.234 [n 4]​,,72 +Baoding,2010.0,China,1.590.000,,,1.297.000,,1.106.000,,1.038.195,,73 +Gwangju,2010.0,Corea del Sur,1.580.000,,,1.601.000,,1.536.000,,1.475.745,,74 +Daqing,2010.0,China,1.550.000,,,983.000,,1.621.000,,1.433.698,,75 +Xiangyang,2010.0,China,1.550.000,,,1.183.000,,1.533.000,,1.433.057,,76 +Yiwu,2010.0,China,1.550.000,,,1.704.000,,1.080.000,,878.973,,77 +Zhuhai,2010.0,China,1.540.000,,,1.547.000,,1.542.000,,1.369.538,,78 +Datong,2010.0,China,1.510.000,,,1.709.000,,1.532.000,,1.362.314,,79 +Yinchuan,2010.0,China,1.500.000,,,1.614.000,,1.596.000,,1.159.457,,80 +Jilin,2010.0,China,1.500.000,,,1.633.000,,1.520.000,,1.469.722,,81 +Sendai,2010.0,Japón,1.480.000,,,1.277.000,,2.091.000,,1.045.986 [n 1]​,,82 +Jiaozuo,2010.0,China,1.350.000,,,809.000,,732.000,,702.527,,83 +Handan,2010.0,China,1.340.000,,,2.000.000,,1.634.000,,919.295,,84 +Putian,2010.0,China,1.340.000,,,1.468.000,,1.438.000,,1.107.199,,85 +Xiangtan,2010.0,China,1.320.000,,,1.007.000,,1.010.000,,903.287,,86 +Xining,2010.0,China,1.310.000,,,1.345.000,,1.323.000,,1.153.417,,87 +Huaibei,2010.0,China,1.300.000,,,1.116.000,,981.000,,854.696,,88 +Tainan,,Taiwán,1.300.000,,,1.216.000,,815.000,,,,89 +Xinxiang,2010.0,China,1.290.000,,,1.074.000,,991.000,,918.078,,90 +Wuhu,2010.0,China,1.280.000,,,1.456.000,,1.424.000,,1.108.087,,91 +Ulán Bator,2010.0,Mongolia,1.280.000,,,1.237.000,,1.377.000,,1.144.954,,92 +Xingtai,2010.0,China,1.280.000,,,749.000,,742.000,,668.765,,93 +Yancheng,2010.0,China,1.240.000,,,935.000,,1.436.000,,1.136.826,,94 +Taian,2010.0,China,1.220.000,,,817.000,,1.220.000,,1.123.541,,95 +Guilin,2010.0,China,1.190.000,,,949.000,,1.040.000,,963.629,,96 +Zhangjiakou,2010.0,China,1.180.000,,,1.156.000,,983.000,,924.628,,97 +Naha,2010.0,Japón,1.180.000,,,1.007.000,,321.000,,315.954 [n 1]​,,98 +Mianyang,2010.0,China,1.160.000,,,585.000,,1.065.000,,967.006,,99 +Zhanjiang,2010.0,China,1.150.000,,,1.042.000,,1.149.000,,1.038.762,,100 +Bengbu,2010.0,China,1.150.000,,,961.000,,842.000,,793.866,,101 +Kumamoto,2010.0,Japón,1.150.000,,,697.000,,601.000,,734.474 [n 1]​,,102 +Yichang,2010.0,China,1.140.000,,,1.039.000,,1.264.000,,1.049.363,,103 +Qingyuan,2010.0,China,1.130.000,,,588.000,,694.000,,916.453,,104 +Ulsan,2010.0,Corea del Sur,1.120.000,,,900.000,,904.000,,1.082.567,,105 +Zunyi,2010.0,China,1.120.000,,,108.000,,803.000,,715.148,,106 +Maanshan,2010.0,China,1.110.000,,,827.000,,858.000,,657.847,,107 +Qinhuangdao,2010.0,China,1.100.000,,,1.041.000,,1.109.000,,967.877,,108 +Changshu,2010.0,China,1.100.000,,,1.344.000,,726.000,,929.124,,109 +Changwon,2010.0,Corea del Sur,1.090.000,,,990.000,,1.039.000,,1.058.021,,110 +Cangnan,2010.0,China,1.090.000,,,823.000,,---,,648.219,,111 +Zhuzhou,2010.0,China,1.080.000,,,1.007.000,,1.083.000,,999.404,,112 +Maoming,2010.0,China,1.080.000,,,619.000,,609.000,,1.033.196,,113 +Benxi,2010.0,China,1.070.000,,,888.000,,1.070.000,,1.000.128,,114 +Qiqihar,2010.0,China,1.060.000,,,1.241.000,,1.452.000,,1.314.720,,115 +Lianyungang,2010.0,China,1.060.000,,,1.128.000,,1.099.000,,897.393,,116 +Zhenjiang,2010.0,China,1.050.000,,,969.000,,1.050.000,,950.516,,117 +Kaifeng,2010.0,China,1.040.000,,,633.000,,804.000,,725.573,,118 +Rizhao,2010.0,China,1.040.000,,,937.000,,1.062.000,,902.272,,119 +Nanchong,2010.0,China,1.030.000,,,692.000,,1.050.000,,890.402,,120 +Jinzhou,2010.0,China,1.030.000,,,922.000,,1.035.000,,946.098,,121 +Chifeng,2010.0,China,1.020.000,,,1.230.000,,1.018.000,,902.285,,122 +Fuji,2010.0,Japón,1.010.000,,,718.000,,---,,254.027 [n 1]​,,123 +Nanyang,2010.0,China,1.000.000,,,731.000,,1.011.000,,899.899,,124 +Wanzhou,2010.0,China,1.000.000,,,582.000,,---,,849.662,,125 +Jining,2010.0,China,---,,,623.000,,1.385.000,,939.034,,126 +Taizhou,2010.0,China,---,,,562.000,,1.184.000,,676.877,,127 +Anyang,2010.0,China,---,,,1.401.000,,1.140.000,,908.129,,128 +Suqian,2010.0,China,---,,,539.000,,1.050.000,,783.376,,129 +Yongin,2010.0,Corea del Sur,---,,,---,,1.048.000,,856.765,,130 +Zaozhuang (incluyendo Tengzhou),2010.0,China,---,,,1.481.000[n 3]​,,1.028.000,,1.764.366 [n 4]​,,131 +Yingkou,2010.0,China,---,,,708.000,,1.026.000,,880.412,,132 +Baoji,2010.0,China,---,,,933.000,,1.001.000,,871.940,,133 +Zhangzhou,2010.0,China,---,,,1.410.000,,---,,614.700,,134 +Weihai,2010.0,China,---,,,1.208.000,,---,,698.863,,135 +Dongying,2010.0,China,---,,,1.206.000,,---,,848.958,,136 +Jiaxing,2010.0,China,---,,,1.192.000,,---,,762.643,,137 +Jiamusi,2010.0,China,---,,,1.089.000,,---,,631.357,,138 +Fuzhou,2010.0,China,---,,,1.052.000,,---,,482.940,,139 +Huzhou,2010.0,China,---,,,1.021.000,,---,,748.471,,140 +Yakarta (incluyendo Bogor),2010,Indonesia,27.700.000,,,30.539.000,,11.399.000 [n 2]​,,10.558.121 [n 4]​,,1 +Manila,2010,Filipinas,23.100.000,,,24.123.000,,12.946.000,,1.652.171 [n 1]​,,2 +Bangkok (incluyendo Samut Prakan),2010,Tailandia,16.700.000,,,14.998.000,,11.084.000,,8.986.218 [n 4]​,,3 +Ciudad Ho Chi Minh,2009,Vietnam,8.150.000,,,8.957.000,,7.298.000,,5.880.615,,4 +Kuala Lumpur,2000,Malasia,6.950.000,,,7.088.000,,6.837.000,,1.305.792 [n 1]​,,5 +Singapur - Johor Bahru,2010 2000,Singapur Malasia,6.900.000,,,7.312.000 [n 3]​,,6.531.000 [n 2]​,,5.719.644 [n 4]​,,6 +Bandung,2010,Indonesia,5.900.000,,,5.695.000,,2.544.000,,2.394.873 [n 1]​,,7 +Rangún,2014,Birmania,5.100.000,,,4.800.000,,4.802.000,,4.728.524,,8 +Surabaya,2010,Indonesia,4.675.000,,,4.881.000,,2.853.000,,2.765.487 [n 1]​,,9 +Medan,2010,Indonesia,3.400.000,,,3.942.000,,2.204.000,,2.097.610 [n 1]​,,10 +Hanói,2009,Vietnam,2.925.000,,,3.715.000,,3.629.000,,2.316.772,,11 +Cebú,2010,Filipinas,2.250.000,,,2.535.000,,951.000,,866.171 [n 1]​,,12 +Semarang,2010,Indonesia,2.025.000,,,1.630.000,,1.630.000,,1.520.481,,13 +Nom Pen,2008,Camboya,1.830.000,,,1.729.000,,1.731.000,,1.416.582,,14 +Makasar,2010,Indonesia,1.760.000,,,1.484.000,,1.489.000,,1.331.391,,15 +Palembang,2010,Indonesia,1.680.000,,,1.434.000,,1.455.000,,1.440.678,,16 +George Town,2000,Malasia,1.530.000,,,1.336.000,,---,,181.380 [n 1]​,,17 +Denpasar,2010,Indonesia,1.470.000,,,1.175.000,,1.107.000,,788.589 [n 1]​,,18 +Malang,2010,Indonesia,1.410.000,,,1.114.000,,856.000,,820.243,,19 +Mandalay,2014,Birmania,1.390.000,,,1.160.000,,1.167.000,,1.225.546,,20 +Davao,2010,Filipinas,1.330.000,,,1.630.000,,1.630.000,,1.176.586 [n 1]​,,21 +Yogyakarta,2010,Indonesia,1.270.000,,,1.831.000,,385.000,,388.627 [n 1]​,,22 +Chonburi,2010,Tailandia,1.230.000,,,665.000,,518.000,,321.149 [n 1]​,,23 +Surakarta,2010,Indonesia,1.210.000,,,1.318.000,,504.000,,499.337 [n 1]​,,24 +Batam,2010,Indonesia,1.160.000,,,1.142.000,,1.391.000,,917.998,,25 +Pekanbaru,2010,Indonesia,1.160.000,,,1.100.000,,1.121.000,,882.045,,26 +Serang,2010,Indonesia,1.090.000,,,564.000,,---,,428.484 [n 1]​,,27 +Bandar Lampung,2010,Indonesia,1.080.000,,,909.000,,965.000,,873.007,,28 +Ángeles,2010,Filipinas,1.060.000,,,883.000,,363.000,,326.336 [n 1]​,,29 +Can Tho,2009,Vietnam,---,,,769.000,,1.175.000,,731.545,,30 +Hai Phong,2009,Vietnam,---,,,983.000,,1.075.000,,769.736,,31 +Naipyidó,2014,Birmania,---,,,1.030.000,,1.030.000,,333.506,,32 +General Santos,2010,Filipinas,---,,,1.579.000,,---,,444.116 [n 1]​,,33 +Cirebon,2010,Indonesia,---,,,1.143.000,,---,,296.389 [n 1]​,,34 +Vientián,2005,Laos,---,,,975.000,,997.000,,569.729,,35 +Londres,2011.0,Reino Unido,14.300.000,,,10.236.000,,10.313.000,,11.140.445,,1 +París,1999.0,Francia,11.200.000,,,10.858.000,,10.843.000,,9.738.809,,2 +Madrid,2011.0,España,6.400.000,,,6.171.000,,6.199.000,,3.198.645 [n 1]​,,3 +Región del Ruhr [n 7]​,,Alemania,5.600.000,,,---,,---,,,,4 +Milán,2011.0,Italia,5.150.000,,,5.257.000,,3.099.000,,1.242.123 [n 1]​,,5 +Colonia - Düsseldorf,2011.0,Alemania,4.825.000,,,8.783.000 [n 3]​,,1.640.000 [n 2]​,,1.591.866 [n 4]​,,6 +Barcelona,2011.0,España,4.700.000,,,4.693.000,,5.258.000,,1.611.013 [n 1]​,,7 +Berlín,2011.0,Alemania,4.450.000,,,4.069.000,,3.563.000,,3.292.365 [n 1]​,,8 +Nápoles,2011.0,Italia,4.225.000,,,3.706.000,,2.202.000,,962.003 [n 1]​,,9 +Atenas,2011.0,Grecia,3.600.000,,,3.484.000,,3.052.000,,3.168.846,,10 +Roma,2011.0,Italia,3.550.000,,,3.906.000,,3.718.000,,2.617.175 [n 1]​,,11 +Birmingham,2011.0,Reino Unido,3.100.000,,,2.512.000,,2.515.000,,2.697.168,,12 +Róterdam,2001.0,Países Bajos,3.100.000,,,2.660.000,,993.000,,608.422 [n 1]​,,13 +Fráncfort del Meno,2011.0,Alemania,3.100.000,,,1.915.000,,715.000,,667.925 [n 1]​,,14 +Mánchester,2011.0,Reino Unido,3.000.000,,,2.639.000,,2.646.000,,2.637.335,,15 +Hamburgo,2011.0,Alemania,2.750.000,,,2.087.000,,1.831.000,,1.706.696 [n 1]​,,16 +Lisboa,2001.0,Portugal,2.600.000,,,2.666.000,,2.884.000,,564.657 [n 1]​,,17 +Ámsterdam,2001.0,Países Bajos,2.375.000,,,1.624.000,,1.091.000,,734.533 [n 1]​,,18 +Stuttgart,2011.0,Alemania,2.300.000,,,1.379.000,,626.000,,585.890 [n 1]​,,19 +Múnich,2011.0,Alemania,2.175.000,,,1.981.000,,1.438.000,,1.348.335 [n 1]​,,20 +Viena,2011.0,Austria,2.125.000,,,1.763.000,,1.753.000,,2.015.580,,21 +Leeds,2011.0,Reino Unido,2.125.000,,,1.893.000,,1.912.000,,2.058.861,,22 +Estocolmo,,Suecia,2.075.000,,,1.484.000,,1.486.000,,,,23 +Bruselas,,Bélgica,2.000.000,,,2.089.000,,2.045.000,,,,24 +Lyon,1999.0,Francia,1.920.000,,,1.583.000,,1.609.000,,1.428.998,,25 +Liverpool,2011.0,Reino Unido,1.830.000,,,875.000,,870.000,,1.367.147,,26 +Valencia,2011.0,España,1.780.000,,,1.561.000,,810.000,,792.054 [n 1]​,,27 +Turín,2011.0,Italia,1.670.000,,,1.521.000,,1.765.000,,872.367 [n 1]​,,28 +Marsella,1999.0,Francia,1.640.000,,,1.397.000,,1.605.000,,1.463.016,,29 +Glasgow,2011.0,Reino Unido,1.610.000,,,1.220.000,,1.223.000,,1.601.154,,30 +Copenhague,,Dinamarca,1.600.000,,,1.248.000,,1.268.000,,,,31 +Sheffield,2011.0,Reino Unido,1.530.000,,,706.000,,706.000,,795.844,,32 +Mannheim,2011.0,Alemania,1.520.000,,,559.000,,319.000,,290.117 [n 1]​,,33 +Newcastle upon Tyne,2011.0,Reino Unido,1.460.000,,,793.000,,791.000,,1.220.781,,34 +Zúrich,2010.0,Suiza,1.350.000,,,785.000,,1.246.000,,1.249.750,,35 +Nottingham,2011.0,Reino Unido,1.350.000,,,755.000,,755.000,,754.789,,36 +Sevilla,2011.0,España,1.340.000,,,1.107.000,,701.000,,698.042,,37 +Dublín,2011.0,Irlanda,1.320.000,,,1.160.000,,1.169.000,,1.110.627,,38 +Lille,1999.0,Francia,1.270.000,,,1.018.000,,1.027.000,,999.797,,39 +Helsinki,2000.0,Finlandia,1.220.000,,,1.208.000,,1.180.000,,1.027.305,,40 +Oporto,2001.0,Portugal,1.190.000,,,1.474.000,,1.299.000,,263.131 [n 1]​,,41 +Núremberg,2011.0,Alemania,1.160.000,,,670.000,,517.000,,486.314 [n 1]​,,42 +Oslo,1990.0,Noruega,1.130.000,,,975.000,,986.000,,685.530,,43 +Southampton,2011.0,Reino Unido,1.130.000,,,883.000,,882.000,,1.060.326,,44 +Hannover,2011.0,Alemania,1.120.000,,,711.000,,533.000,,506.416 [n 1]​,,45 +Amberes,,Bélgica,1.020.000,,,1.008.000,,994.000,,,,46 +Málaga,2011.0,España,1.010.000,,,716.000,,574.000,,561.435,,47 +Niza - Cannes,1999.0,Francia,---,,,978.000,,967.000,,889.163,,48 +Toulouse,1999.0,Francia,---,,,922.000,,938.000,,761.963,,49 +Moscú,2010,Rusia,16.800.000,,,16.170.000,,12.166.000,,11.612.885,,1 +Estambul [n 8]​,2000,Turquía,14.200.000,,,13.287.000,,14.164.000,,8.803.468,,2 +San Petersburgo,2010,Rusia,5.400.000,,,5.126.000,,4.993.000,,4.879.566,,3 +Kiev,2001,Ucrania,3.375.000,,,2.241.000,,2.942.000,,2.611.327,,4 +Budapest,2011,Hungría,2.550.000,,,1.710.000,,1.714.000,,1.729.040,,5 +Katowice,2011,Polonia,2.400.000,,,2.190.000,,303.000,,310.764 [n 1]​,,6 +Varsovia,2011,Polonia,2.275.000,,,1.720.000,,1.722.000,,1.700.612 [n 1]​,,7 +Bucarest,2011,Rumania,2.175.000,,,1.860.000,,1.868.000,,1.883.425,,8 +Minsk,2009,Bielorrusia,1.950.000,,,1.910.000,,1.915.000,,1.836.808,,9 +Nizni Nóvgorod,2010,Rusia,1.750.000,,,1.201.000,,1.212.000,,1.250.619,,10 +Járkov,2001,Ucrania,1.650.000,,,1.440.000,,1.441.000,,1.470.902,,11 +Donetsk,2001,Ucrania,1.480.000,,,930.000,,934.000,,1.016.194,,12 +Praga,2001,República Checa,1.460.000,,,1.310.000,,1.314.000,,1.169.106,,13 +Volgogrado,2010,Rusia,1.410.000,,,999.000,,1.022.000,,1.021.215,,14 +Belgrado,2011,Serbia,1.400.000,,,1.180.000,,1.182.000,,1.166.763,,15 +Dnipropetrovsk,2001,Ucrania,1.390.000,,,950.000,,957.000,,1.065.008,,16 +Sofía,2011,Bulgaria,1.320.000,,,1.195.000,,1.226.000,,1.202.761,,17 +Samara,2010,Rusia,1.320.000,,,1.162.000,,1.164.000,,1.164.685,,18 +Rostov del Don,2010,Rusia,1.280.000,,,1.090.000,,1.097.000,,1.089.261,,19 +Kazán,2010,Rusia,1.210.000,,,1.160.000,,1.162.000,,1.143.535,,20 +Ufá,2010,Rusia,1.110.000,,,1.024.000,,1.070.000,,1.062.319,,21 +Odesa,2001,Ucrania,1.110.000,,,1.010.000,,1.010.000,,1.029.049,,22 +Perm,2010,Rusia,1.100.000,,,974.000,,982.000,,991.162,,23 +Sarátov,2010,Rusia,1.090.000,,,772.000,,815.000,,837.900,,24 +Vorónezh,2010,Rusia,1.030.000,,,897.000,,911.000,,975.373,,25 +Sídney,2011,Australia,4.850.000,,,4.036.000,,4.505.000,,4.028.525,,1 +Melbourne,2011,Australia,4.350.000,,,3.906.000,,4.203.000,,3.847.567,,2 +Brisbane,2011,Australia,2.875.000,,,1.999.000,,2.202.000,,1.977.316,,3 +Perth,2011,Australia,2.025.000,,,1.751.000,,1.861.000,,1.670.952,,4 +Auckland,2013,Nueva Zelanda,1.404.000,,,1.356.000,,1.344.000,,1.308.831,,5 +Adelaida,2011,Australia,1.290.000,,,1.140.000,,1.256.000,,1.198.467,,6 +Honolulu[n 9]​,2010,Estados Unidos,1.000.000,,,842.000,,848.000,,953.207,,7 +Ciudad de México,2010,México,,22.300.000,,22.063.000,,22.452.000,,20.555.272,,1 +Nueva York,2010,Estados Unidos,,22.200.000,,20.630.000,,21.900.000,,19.556.440,,2 +São Paulo,2010,Brasil,,21.900.000,,20.365.000,,21.600.000,,19.683.975,,3 +Los Ángeles (incluyendo Riverside y San Bernardino),2010,Estados Unidos,,17.600.000,,15.058.000,,14.504.000,,17.053.905,,4 +Buenos Aires,2010,Argentina,,15.800.000,,14.122.000,,15.180.000,,13.588.171,,5 +Río de Janeiro,2010,Brasil,,12.700.000,,11.727.000,,12.902.000,,11.835.708,,6 +Lima,2007,Perú,,10.300.000,,10.500.000,,10.600.000,,8.324.510,,7 +Chicago,2010,Estados Unidos,,9.800.000,,9.156.000,,8.745.000,,9.461.537,,8 +Bogotá (incl. Chía - Soacha - Mosquera - La Calera - Funza - Madrid),2005,Colombia,,9.550.000,,8.950.000,,8.197.000,,6.472.935,,9 +Washington D. C. (incluyendo Baltimore),2010,Estados Unidos,,8.350.000,,7.152.000,,7.222.000,,8.347.003,,10 +San Francisco (incluyendo San José),2010,Estados Unidos,,7.600.000,,5.929.000,,5.030.000,,6.172.501,,11 +Boston (incluyendo Providence),2010,Estados Unidos,,7.350.000,,5.679.000,,5.445.000,,6.153.628,,12 +Filadelfia,2010,Estados Unidos,,7.300.000,,5.570.000,,5.585.000,,5.965.368,,13 +Santiago de Chile,2010,Chile,,7.150.000,,6.174.000,,5.703.000,,6.426.210,,14 +Toronto,2011,Canadá,,7.100.000,,6.456.000,,5.993.000,,5.583.064,,15 +Houston,2010,Estados Unidos,,6.200.000,,5.764.000,,5.636.000,,5.920.490,,16 +Miami,2010,Estados Unidos,,6.100.000,,5.764.000,,5.817.000,,5.566.299,,17 +Dallas,2002,Estados Unidos,,5.985.000,,5.225.000,,5.507.000,,4.656.690,,18 +Detroit - Windsor,2010 2011,Estados Unidos Canadá,,5.700.000,,3.947.000,,3.954.000,,4.615.559,,19 +Caracas,2011,Venezuela,,5.690.000,,4.083.000,,4.513.000,,2.904.376,,20 +Atlanta,2010,Estados Unidos,,5.500.000,,5.015.000,,5.142.000,,5.286.727,,21 +Guadalajara,2010,México,,5.007 756,,4.603.000,,4.843.000,,4.495.182,,22 +Belo Horizonte,2010,Brasil,,4.925.000,,4.517.000,,5.716.000,,5.414.701,,23 +Monterrey,2010,México,,4.456.000,,4.513.000,,4.810.000,,1.135.512,,24 +Phoenix,2010,Estados Unidos,,4.325.000,,4.194.000,,4.063.000,,4.193.127,,24 +Montreal,2011,Canadá,,4.100.000,,3.536.000,,3.981.000,,3.824.221,,25 +Porto Alegre,2010,Brasil,,4.075.000,,3.413.000,,3.603.000,,3.958.985,,26 +Seattle,2010,Estados Unidos,,4.075.000,,3.218.000,,3.249.000,,3.439.815,,27 +Tampa,2010,Estados Unidos,,4.025.000,,2.621.000,,2.659.000,,2.783.514,,28 +Brasilia,2010,Brasil,,3.925.000,,2.536.000,,4.155.000,,3.717.728,,29 +Medellín,2005,Colombia,,3.900.000,,3.568.000,,3.911.000,,2.175.681,,30 +Recife,2010,Brasil,,3.775.000,,3.347.000,,3.739.000,,3.690.547,,31 +Salvador de Bahía,2010,Brasil,,3.650.000,,3.190.000,,3.583.000,,3.573.973,,32 +Santo Domingo,2010,República Dominicana,,3.650.000,,2.925.000,,2.945.000,,2.581.827,,33 +Fortaleza,2010,Brasil,,3.575.000,,3.401.000,,3.880.000,,3.615.767,,34 +Denver,2010,Estados Unidos,,3.525.000,,2.559.000,,2.599.000,,2.543.594,,35 +Maracaibo,2011,Venezuela,,3.400.000,,2.861.000,,2.916.000,,2.904.376,,36 +Curitiba,2010,Brasil,,3.275.000,,3.102.000,,3.474.000,,3.174.201,,37 +San Diego,2010,Estados Unidos,,3.275.000,,3.086.000,,3.107.000,,3.095.308,,38 +Cali,2005,Colombia,,3.250.000,,2.357.000,,2.646.000,,2.083.171,,39 +Cleveland,2010,Estados Unidos,,3.075.000,,1.783.000,,1.773.000,,2.077.246,,40 +Orlando,2010,Estados Unidos,,3.075.000,,2.040.000,,1.731.000,,2.134.418,,41 +Campinas,2010,Brasil,,3.050.000,,2.645.000,,3.047.000,,2.797.137,,42 +Minneapolis,2010,Estados Unidos,,3.050.000,,2.771.000,,2.791.000,,3.348.857,,43 +Ciudad de Guatemala,2002,Guatemala,,3.000.000,,1.289.000,,2.918.000,,942.348,,44 +Guayaquil,2010,Ecuador,,3.000.000,,2.700.000,,2.709.000,,2.278.691,,45 +Puebla de Zaragoza,2010,México,,2.975.000,,2.088.000,,2.984.000,,1.434.062,,46 +Puerto Príncipe,2003,Haití,,2.850.000,,2.440.000,,2.440.000,,703.023,,47 +Cincinnati,2010,Estados Unidos,,2.725.000,,1.682.000,,1.688.000,,2.114.755,,48 +Quito,2010,Ecuador,,2.550.000,,1.720.000,,1.726.000,,1.607.734,,49 +Vancouver,2011,Canadá,,2.500.000,,2.273.000,,2.485.000,,2.313.328,,50 +Barranquilla,2005,Colombia,,2.450.000,,1.218.000,,1.500.000,,1.967.000,,51 +"Cantón (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)",2010,China,46.900.000,,,45.553.000,,42.941.000,,39.264.086,,1 +Tokio,2010,Japón,39.500.000,,,37.843.000,,38.001.000,,8.945.695,,2 +"Shanghái (incl. Suzhou, Kunshan)",2010,China,30.400.000,,,30.477.000,,29.213.000,,25.420.288,,3 +Yakarta (incluyendo Bogor),2010,Indonesia,30.100.000,,,30.539.000,,11.399.000,,10.558.121,,4 +Delhi,2011,India,28.400.000,,,24.998.000,,25.703.000,,16.349.831,,5 +Karachi,2011,Pakistán,25.300.000,,,22.123.000,,16.618.000,,21.142.625,,6 +Manila,2010,Filipinas,24.600.000,,,24.123.000,,12.946.000,,1.652.171,,7 +Bombay (incluyendo Kalyan y Vasai-Virar),2011,India,24.300.000,,,21.732.000,,21.043.000,,19.617.302,,8 +Seúl (incluyendo Incheon y Suwon),2010,Corea del Sur,24.100.000,,,23.480.000,,10.558.000,,23.836.272,,9 +Daca,2011,Bangladés,22.300.000,,,15.669.000,,17.598.000,,14.543.124,,10 +Pekín,2010,China,20.700.000,,,21.009.000,,20.384.000,,16.446.857,,11 +Osaka,2010,Japón,19.800.000,,,17.444.000,,20.238.000,,2.665.314,,12 +Bangkok (incluyendo Samut Prakan),2010,Tailandia,16.700.000,,,14.998.000,,11.084.000,,8.986.218,,13 +Calcuta,2011,India,15.900.000,,,14.667.000,,14.865.000,,14.057.991,,14 +Teherán (incluyendo Karaj),2011,Irán,13.600.000,,,13.532.000,,10.239.000,,9.768.677,,15 +Tianjin,2010,China,11.200.000,,,10.920.000,,11.210.000,,9.290.263,,16 +Nagoya,2010,Japón,10.400.000,,,10.177.000,,9.406.000,,2.263.894,,17 +Bangalore,2011,India,10.300.000,,,9.807.000,,10.087.000,,8.520.435,,18 +Lahore,1998,Pakistán,9.950.000,,,10.052.000,,8.741.000,,5.143.495,,19 +Madrás,2011,India,9.900.000,,,9.714.000,,9.890.000,,8.653.521,,20 +Xiamen (incluyendl Quanzhou),2010,China,9.850.000,,,11.130.000,,5.825.000,,4.273.841,,21 +Chengdu,2010,China,9.400.000,,,10.376.000,,7.556.000,,6.316.922,,22 +Taipéi,,Taiwán,9.000.000,,,7.438.000,,2.666.000,,,,23 +Hyderabad,2011,India,8.900.000,,,8.754.000,,8.942.000,,7.677.018,,24 +Hangzhou (incluyendo Shaoxing),2010,China,8.150.000,,,9.625.000,,8.467.000,,6.887.819,,25 +Ciudad Ho Chi Minh,2009,Vietnam,8.150.000,,,8.957.000,,7.298.000,,5.880.615,,26 +Wuhan,2010,China,7.950.000,,,7.509.000,,7.906.000,,7.541.527,,27 +"Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)",2010,China,7.850.000,,,6.337.000,,6.287.000,,5.775.239,,28 +Shenyang (incluyendo Fushun),2010,China,7.600.000,,,7.402.000,,7.613.000,,7.037.040,,29 +Ahmedabad,2011,India,7.350.000,,,7.186.000,,7.343.000,,6.357.693,,30 +Hong Kong,2011,Hong Kong,7.200.000,,,7.246.000,,7.314.000,,7.071.576,,31 +Chongqing,2010,China,6.950.000,,,7.217.000,,13.332.000,,6.263.790,,32 +Kuala Lumpur,2000,Malasia,6.950.000,,,7.088.000,,6.837.000,,1.305.792,,33 +Singapur - Johor Bahru,2010 2000,Singapur Malasia,6.900.000,,,7.312.000,,6.531.000,,5.719.644,,34 +Nankín,2010,China,6.750.000,,,6.155.000,,7.369.000,,5.827.888,,35 +Bagdad,1987,Irak,6.750.000,,,6.625.000,,6.643.000,,3.841.268,,36 +Riad,2010,Arabia Saudita,6.550.000,,,5.666.000,,6.370.000,,5.188.286,,37 +Xi'an,2010,China,6.550.000,,,5.977.000,,6.044.000,,5.206.253,,38 +Pune,2011,India,6.000.000,,,5.631.000,,5.728.000,,5.057.709,,39 +Bandung,2010,Indonesia,5.900.000,,,5.695.000,,2.544.000,,2.394.873,,40 +Wenzhou (incluyendo Rui'an),2010,China,5.800.000,,,4.303.000,,3.208.000,,3.614.208,,41 +Qingdao,2010,China,5.650.000,,,5.816.000,,4.566.000,,3.990.942,,42 +Surat,2011,India,5.600.000,,,5.447.000,,5.650.000,,4.591.246,,43 +Harbin,2010,China,5.100.000,,,4.815.000,,5.457.000,,4.596.313,,44 +Rangún,2014,Birmania,5.100.000,,,4.800.000,,4.802.000,,4.728.524,,45 +Kitakyushu - Fukuoka,2010,Japón,4.725.000,,,4.505.000,,5.510.000,,2.440.589,,46 +Surabaya,2010,Indonesia,4.675.000,,,4.881.000,,2.853.000,,2.765.487,,47 +Colombo,2012,Sri Lanka,4.650.000,,,2.180.000,,707.000,,561.314,,48 +Ankara,2000,Turquía,4.625.000,,,4.538.000,,4.750.000,,3.203.362,,49 +Zhengzhou,2010,China,4.600.000,,,4.942.000,,4.387.000,,3.677.032,,50 +Moscú,2010.0,Rusia,16 800 000???,,,16 170 000???,,12 166 000???,,11 612 885???,,1 +Londres,2011.0,Reino Unido,14 300 000???,,,10 236 000???,,10 313 000???,,11 140 445???,,2 +Estambul,2000.0,Turquía,14 200 000,,,13.287 000,,14 164 000,,8 803 468,,3 +París,1999.0,Francia,11 200 000,,,10.858.000,,10.843.000,,9.738 809,,4 +Madrid,2011.0,España,6 400 000,,,6 171 000,,6 199 000,,3 198 645,,5 +Región del Ruhr,,Alemania,5 600 000,,,---,,---,,,,6 +San Petersburgo,2010.0,Rusia,5 400 000,,,5 126 000,,4 993 000,,4 879 566,,7 +Milán,2011.0,Italia,5.150.000,,,5.257.000,,3.099.000,,1.242.123,,8 +Colonia - Düsseldorf,2011.0,Alemania,4.825.000,,,8.783.000,,1.640.000,,1.591.866,,9 +Barcelona,2011.0,España,4.700.000,,,4.693.000,,5.258.000,,1.611.013,,10 +Berlín,2011.0,Alemania,4.450.000,,,4.069.000,,3.563.000,,3.292.365,,11 +Nápoles,2011.0,Italia,4.225.000,,,3.706.000,,2.202.000,,962.003,,12 +Atenas,2011.0,Grecia,3.600.000,,,3.484.000,,3.052.000,,3.168.846,,13 +Roma,2011.0,Italia,3.550.000,,,3.906.000,,3.718.000,,2.617.175,,14 +Kiev,2001.0,Ucrania,3.375.000,,,2.241.000,,2.942.000,,2.611.327,,15 +Birmingham,2011.0,Reino Unido,3.100.000,,,2.512.000,,2.515.000,,2.697.168,,16 +Róterdam,2001.0,Países Bajos,3.100.000,,,2.660.000,,993.000,,608.422,,17 +Fráncfort del Meno,2011.0,Alemania,3.100.000,,,1.915.000,,715.000,,667.925,,18 +Mánchester,2011.0,Reino Unido,3.000.000,,,2.639.000,,2.646.000,,2.637.335,,19 +Hamburgo,2011.0,Alemania,2.750.000,,,2.087.000,,1.831.000,,1.706.696,,20 +Lisboa,2001.0,Portugal,2.600.000,,,2.666.000,,2.884.000,,564.657,,21 +Budapest,2011.0,Hungría,2.550.000,,,1.710.000,,1.714.000,,1.729.040,,22 +Katowice,2011.0,Polonia,2.400.000,,,2.190.000,,303.000,,310.764,,23 +Ámsterdam,2001.0,Países Bajos,2.375.000,,,1.624.000,,1.091.000,,734.533,,24 +Stuttgart,2011.0,Alemania,2.300.000,,,1.379.000,,626.000,,585.890,,25 +Varsovia,2011.0,Polonia,2.275.000,,,1.720.000,,1.722.000,,1.700.612,,26 +Bucarest,2011.0,Rumania,2.175.000,,,1.860.000,,1.868.000,,1.883.425,,27 +Múnich,2011.0,Alemania,2.175.000,,,1.981.000,,1.438.000,,1.348.335,,28 +Viena,2011.0,Austria,2.125.000,,,1.763.000,,1.753.000,,2.015.580,,29 +Leeds,2011.0,Reino Unido,2.125.000,,,1.893.000,,1.912.000,,2.058.861,,30 +Estocolmo,,Suecia,2.075.000,,,1.484.000,,1.486.000,,,,31 +Bruselas,,Bélgica,2.000.000,,,2.089.000,,2.045.000,,,,32 +Minsk,2009.0,Bielorrusia,1.950.000,,,1.910.000,,1.915.000,,1.836.808,,33 +Lyon,1999.0,Francia,1.920.000,,,1.583.000,,1.609.000,,1.428.998,,34 +Liverpool,2011.0,Reino Unido,1.830.000,,,875.000,,870.000,,1.367.147,,35 +Valencia,2011.0,España,1.780.000,,,1.561.000,,810.000,,792.054,,36 +Nizni Nóvgorod,2010.0,Rusia,1.750.000,,,1.201.000,,1.212.000,,1.250.619,,37 +Turín,2011.0,Italia,1.670.000,,,1.521.000,,1.765.000,,872.367,,38 +Járkov,2001.0,Ucrania,1.650.000,,,1.440.000,,1.441.000,,1.470.902,,39 +Marsella,1999.0,Francia,1.640.000,,,1.397.000,,1.605.000,,1.463.016,,40 +Glasgow,2011.0,Reino Unido,1.610.000,,,1.220.000,,1.223.000,,1.601.154,,41 +Copenhague,,Dinamarca,1.600.000,,,1.248.000,,1.268.000,,,,42 +Sheffield,2011.0,Reino Unido,1.530.000,,,706.000,,706.000,,795.844,,43 +Mannheim,2011.0,Alemania,1.520.000,,,559.000,,319.000,,290.117,,44 +Donetsk,2001.0,Ucrania,1.480.000,,,930.000,,934.000,,1.016.194,,45 +Newcastle upon Tyne,2011.0,Reino Unido,1.460.000,,,793.000,,791.000,,1.220.781,,46 +Praga,2001.0,República Checa,1.460.000,,,1.310.000,,1.314.000,,1.169.106,,47 +Volgogrado,2010.0,Rusia,1.410.000,,,999.000,,1.022.000,,1.021.215,,48 +Belgrado,2011.0,Serbia,1.400.000,,,1.180.000,,1.182.000,,1.166.763,,49 +Dnipropetrovsk,2001.0,Ucrania,1.390.000,,,950.000,,957.000,,1.065.008,,50 diff --git a/wiki3_df2.csv b/wiki3_df2.csv new file mode 100644 index 0000000..3186cbf --- /dev/null +++ b/wiki3_df2.csv @@ -0,0 +1,442 @@ +Ciudad,Fecha,País,Citypopulation 2015,Demographia 2015,ONU 2015,Ultimo Censo,Posición en Tabla Inicial +"Cantón (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)",2010.0,China,46900000.0,45553000.0,42941000.0,39264086.0,1 +Tokio,2010.0,Japón,39500000.0,37843000.0,38001000.0,8945695.0,2 +"Shanghái (incl. Suzhou, Kunshan)",2010.0,China,30400000.0,30477000.0,29213000.0,25420288.0,3 +Yakarta (incluyendo Bogor),2010.0,Indonesia,30100000.0,30539000.0,11399000.0,10558121.0,4 +Delhi,2011.0,India,28400000.0,24998000.0,25703000.0,16349831.0,5 +Karachi,2011.0,Pakistán,25300000.0,22123000.0,16618000.0,21142625.0,6 +Manila,2010.0,Filipinas,24600000.0,24123000.0,12946000.0,1652171.0,7 +Bombay (incluyendo Kalyan y Vasai-Virar),2011.0,India,24300000.0,21732000.0,21043000.0,19617302.0,8 +Seúl (incluyendo Incheon y Suwon),2010.0,Corea del Sur,24100000.0,23480000.0,10558000.0,23836272.0,9 +Daca,2011.0,Bangladés,22300000.0,15669000.0,17598000.0,14543124.0,10 +Pekín,2010.0,China,20700000.0,21009000.0,20384000.0,16446857.0,11 +Osaka,2010.0,Japón,19800000.0,17444000.0,20238000.0,2665314.0,12 +Bangkok (incluyendo Samut Prakan),2010.0,Tailandia,16700000.0,14998000.0,11084000.0,8986218.0,13 +Calcuta,2011.0,India,15900000.0,14667000.0,14865000.0,14057991.0,14 +Teherán (incluyendo Karaj),2011.0,Irán,13600000.0,13532000.0,10239000.0,9768677.0,15 +Tianjin,2010.0,China,11200000.0,10920000.0,11210000.0,9290263.0,16 +Nagoya,2010.0,Japón,10400000.0,10177000.0,9406000.0,2263894.0,17 +Bangalore,2011.0,India,10300000.0,9807000.0,10087000.0,8520435.0,18 +Lahore,1998.0,Pakistán,9950000.0,10052000.0,8741000.0,5143495.0,19 +Madrás,2011.0,India,9900000.0,9714000.0,9890000.0,8653521.0,20 +Xiamen (incluyendl Quanzhou),2010.0,China,9850000.0,11130000.0,5825000.0,4273841.0,21 +Chengdu,2010.0,China,9400000.0,10376000.0,7556000.0,6316922.0,22 +Taipéi,,Taiwán,9000000.0,7438000.0,2666000.0,,23 +Hyderabad,2011.0,India,8900000.0,8754000.0,8942000.0,7677018.0,24 +Hangzhou (incluyendo Shaoxing),2010.0,China,8150000.0,9625000.0,8467000.0,6887819.0,25 +Ciudad Ho Chi Minh,2009.0,Vietnam,8150000.0,8957000.0,7298000.0,5880615.0,26 +Wuhan,2010.0,China,7950000.0,7509000.0,7906000.0,7541527.0,27 +"Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)",2010.0,China,7850000.0,6337000.0,6287000.0,5775239.0,28 +Shenyang (incluyendo Fushun),2010.0,China,7600000.0,7402000.0,7613000.0,7037040.0,29 +Ahmedabad,2011.0,India,7350000.0,7186000.0,7343000.0,6357693.0,30 +Hong Kong,2011.0,Hong Kong,7200000.0,7246000.0,7314000.0,7071576.0,31 +Chongqing,2010.0,China,6950000.0,7217000.0,13332000.0,6263790.0,32 +Kuala Lumpur,2000.0,Malasia,6950000.0,7088000.0,6837000.0,1305792.0,33 +Singapur - Johor Bahru,,Singapur Malasia,6900000.0,7312000.0,6531000.0,5719644.0,34 +Nankín,2010.0,China,6750000.0,6155000.0,7369000.0,5827888.0,35 +Bagdad,1987.0,Irak,6750000.0,6625000.0,6643000.0,3841268.0,36 +Riad,2010.0,Arabia Saudita,6550000.0,5666000.0,6370000.0,5188286.0,37 +Xi'an,2010.0,China,6550000.0,5977000.0,6044000.0,5206253.0,38 +Pune,2011.0,India,6000000.0,5631000.0,5728000.0,5057709.0,39 +Bandung,2010.0,Indonesia,5900000.0,5695000.0,2544000.0,2394873.0,40 +Wenzhou (incluyendo Rui'an),2010.0,China,5800000.0,4303000.0,3208000.0,3614208.0,41 +Qingdao,2010.0,China,5650000.0,5816000.0,4566000.0,3990942.0,42 +Surat,2011.0,India,5600000.0,5447000.0,5650000.0,4591246.0,43 +Harbin,2010.0,China,5100000.0,4815000.0,5457000.0,4596313.0,44 +Rangún,2014.0,Birmania,5100000.0,4800000.0,4802000.0,4728524.0,45 +Kitakyushu - Fukuoka,2010.0,Japón,4725000.0,4505000.0,5510000.0,2440589.0,46 +Surabaya,2010.0,Indonesia,4675000.0,4881000.0,2853000.0,2765487.0,47 +Colombo,2012.0,Sri Lanka,4650000.0,2180000.0,707000.0,561314.0,48 +Ankara,2000.0,Turquía,4625000.0,4538000.0,4750000.0,3203362.0,49 +Zhengzhou,2010.0,China,4600000.0,4942000.0,4387000.0,3677032.0,50 +Teherán (incluyendo Karaj),2011.0,Irán,13600000.0,13532000.0,,,1 +Bagdad,1987.0,Irak,6750000.0,6625000.0,6643000.0,3841268.0,2 +Riad,2010.0,Arabia Saudita,6550000.0,5666000.0,6370000.0,5188286.0,3 +Ankara,2000.0,Turquía,4625000.0,4538000.0,4750000.0,3203362.0,4 +Yida,2010.0,Arabia Saudita,4175000.0,3677000.0,4076000.0,3430697.0,5 +Kuwait,,Kuwait,4075000.0,4283000.0,2779000.0,,6 +Dubái (incluyendo Sarja),1995.0,Emiratos Árabes Unidos,3800000.0,3933000.0,,,7 +Damasco,2004.0,Siria,3650000.0,2560000.0,2566000.0,1414913.0,8 +Kabul,1979.0,Afganistán,3600000.0,4635000.0,4635000.0,913164.0,9 +Amán,2004.0,Jordania,3325000.0,2468000.0,1155000.0,1036330.0,10 +Alepo,2004.0,Siria,3050000.0,3560000.0,3562000.0,2132100.0,11 +Mashhad,2011.0,Irán,3050000.0,3294000.0,3014000.0,2749374.0,12 +Esmirna,2000.0,Turquía,2925000.0,3112000.0,3040000.0,2232265.0,13 +Isfahán,2011.0,Irán,2725000.0,2392000.0,1880000.0,1756126.0,14 +Taskent,1989.0,Uzbekistán,2625000.0,2250000.0,2251000.0,2072459.0,15 +Tel Aviv,1995.0,Israel,2475000.0,2979000.0,3608000.0,348245.0,16 +Saná,2004.0,Yemen,2425000.0,2980000.0,2962000.0,1707531.0,17 +Bakú,1989.0,Azerbaiyán,2425000.0,2661000.0,2374000.0,1150055.0,18 +Dammam,2010.0,Arabia Saudita,2350000.0,1019000.0,1064000.0,903312.0,19 +Bursa,2000.0,Turquía,1930000.0,1839000.0,1923000.0,1194687.0,20 +La Meca,2010.0,Arabia Saudita,1840000.0,1647000.0,1771000.0,1534731.0,21 +Franja de Gaza,2007.0,Palestina,1760000.0,620000.0,624000.0,483869.0,22 +Almaty,1999.0,Kazajistán,1750000.0,1500000.0,1523000.0,1365632.0,23 +Mosul,1987.0,Irak,1680000.0,1675000.0,1694000.0,664221.0,24 +Shiraz,2011.0,Irán,1680000.0,1873000.0,1661000.0,1460665.0,25 +Adana,2000.0,Turquía,1670000.0,1830000.0,1830000.0,1130710.0,26 +Novosibirsk [n 5]​,2010.0,Rusia,1640000.0,1486000.0,1497000.0,,27 +Beirut,1970.0,Líbano,1630000.0,2200000.0,2226000.0,474870.0,28 +Tabriz,2011.0,Irán,1610000.0,1693000.0,1572000.0,1494998.0,29 +Ekaterimburgo [n 5]​,2010.0,Rusia,1590000.0,1361000.0,1379000.0,1473754.0,30 +Gaziantep,2000.0,Turquía,1530000.0,1394000.0,1528000.0,853513.0,31 +Ereván,2011.0,Armenia,1480000.0,1274000.0,1044000.0,1060138.0,32 +Cheliábinsk [n 5]​,2010.0,Rusia,1390000.0,1150000.0,1157000.0,1130132.0,33 +Basora,1987.0,Irak,1390000.0,1000000.0,1019000.0,406296.0,34 +Medina,2010.0,Arabia Saudita,1320000.0,1233000.0,1280000.0,1100093.0,35 +Ahvaz,2011.0,Irán,1240000.0,1315000.0,1060000.0,1112021.0,36 +Tiflis,2002.0,Georgia,1230000.0,1125000.0,1147000.0,1073345.0,37 +Konya,2000.0,Turquía,1190000.0,1190000.0,1194000.0,742690.0,38 +Omsk [n 5]​,2010.0,Rusia,1180000.0,1154000.0,1162000.0,1154116.0,39 +Qom,2011.0,Irán,1160000.0,1101000.0,1204000.0,1074036.0,40 +Erbil,1987.0,Irak,1150000.0,1150000.0,1166000.0,485968.0,41 +Antalya,2000.0,Turquía,1140000.0,1070000.0,1072000.0,603190.0,42 +Asjabad,1989.0,Turkmenistán,1140000.0,740000.0,746000.0,401135.0,43 +Abu Dabi,1995.0,Emiratos Árabes Unidos,1120000.0,982000.0,1145000.0,398695.0,44 +Kirkuk,1987.0,Irak,1110000.0,650000.0,650000.0,418624.0,45 +Krasnoyarsk [n 5]​,2010.0,Rusia,1080000.0,998000.0,1008000.0,973826.0,46 +Kayseri,2000.0,Turquía,1050000.0,900000.0,904000.0,536392.0,47 +Delhi,2011.0,India,26000000.0,24998000.0,25703000.0,16349831.0,1 +Karachi,2011.0,Pakistán,24000000.0,22123000.0,16618000.0,21142625.0,2 +Bombay (incluyendo Kalyan y Vasai-Virar),2011.0,India,23000000.0,,21043000.0,,3 +Daca,2011.0,Bangladés,17300000.0,15669000.0,17598000.0,14543124.0,4 +Calcuta,2011.0,India,15900000.0,14667000.0,14865000.0,14057991.0,5 +Bangalore,2011.0,India,10300000.0,9807000.0,10087000.0,8520435.0,6 +Lahore,1998.0,Pakistán,9950000.0,10052000.0,8741000.0,5143495.0,7 +Madrás,2011.0,India,9900000.0,9714000.0,9890000.0,8653521.0,8 +Hyderabad,2011.0,India,8900000.0,8754000.0,8942000.0,7677018.0,9 +Ahmedabad,2011.0,India,7350000.0,7186000.0,7343000.0,6357693.0,10 +Pune,2011.0,India,6000000.0,5631000.0,5728000.0,5057709.0,11 +Surat,2011.0,India,5600000.0,5447000.0,5650000.0,4591246.0,12 +Colombo,2012.0,Sri Lanka,4650000.0,2180000.0,707000.0,,13 +Chittagong,2011.0,Bangladés,4475000.0,3176000.0,4539000.0,4009423.0,14 +Faisalabad,1998.0,Pakistán,3900000.0,3560000.0,3567000.0,2008861.0,15 +Rawalpindi (incluyendo Islamabad),1998.0,Pakistán,3800000.0,2510000.0,,,16 +Jaipur,2011.0,India,3475000.0,3409000.0,3461000.0,3046163.0,17 +Lucknow,2011.0,India,3300000.0,3184000.0,3222000.0,2902920.0,18 +Kanpur,,India,3275000.0,3037000.0,3021000.0,2011.0,19 +Nagpur,2011.0,India,3000000.0,2668000.0,2675000.0,2497870.0,20 +Katmandú,2011.0,Nepal,2875000.0,1180000.0,1183000.0,1003285.0,21 +Indore,2011.0,India,2725000.0,2405000.0,2441000.0,2170295.0,22 +Bhilai (incluyendo Raipur),2011.0,India,2500000.0,,,,23 +Patna,2011.0,India,2450000.0,2200000.0,2210000.0,2049156.0,24 +Coimbatore,2011.0,India,2425000.0,2481000.0,2549000.0,2136916.0,25 +Gujranwala,1998.0,Pakistán,2400000.0,2120000.0,2122000.0,1132509.0,26 +Hyderabad,1998.0,Pakistán,2400000.0,2920000.0,1772000.0,1166894.0,27 +Bhopal,2011.0,India,2150000.0,2075000.0,2102000.0,1886100.0,28 +Multan,1998.0,Pakistán,2125000.0,1900000.0,1921000.0,1197384.0,29 +Vadodara,2011.0,India,2025000.0,1963000.0,1975000.0,1822221.0,30 +Agra,2011.0,India,2025000.0,1938000.0,1966000.0,1760285.0,31 +Chandigarh,2011.0,India,2000000.0,1124000.0,1134000.0,1026459.0,32 +Visakhapatnam,2011.0,India,1950000.0,1910000.0,1935000.0,1728128.0,33 +Peshawar,1998.0,Pakistán,1870000.0,1730000.0,1736000.0,982816.0,34 +Ludhiāna,2011.0,India,1830000.0,1714000.0,1716000.0,1618879.0,35 +Nashik,2011.0,India,1810000.0,1749000.0,1779000.0,1561809.0,36 +Benarés,2011.0,India,1770000.0,1536000.0,1541000.0,1432280.0,37 +Vijayawada,2011.0,India,1740000.0,1715000.0,1760000.0,1476931.0,38 +Bhubaneswar,2011.0,India,1720000.0,984000.0,999000.0,885363.0,39 +Rajkot,2011.0,India,1620000.0,1568000.0,1599000.0,1390640.0,40 +Madurai,2011.0,India,1620000.0,1582000.0,1593000.0,1465625.0,41 +Meerut,2011.0,India,1580000.0,1541000.0,1550000.0,1420902.0,42 +Aurangabad,2011.0,India,1570000.0,1324000.0,1344000.0,1193167.0,43 +Cochín,2011.0,India,1530000.0,2374000.0,2416000.0,2119742.0,44 +Jamshedpur,2011.0,India,1530000.0,1443000.0,1451000.0,1339438.0,45 +Kolhapur,2011.0,India,1520000.0,593000.0,591000.0,561837.0,46 +Asansol,2011.0,India,1490000.0,1315000.0,1313000.0,1243414.0,47 +Srinagar,2011.0,India,1430000.0,1409000.0,1429000.0,1264202.0,48 +Jabalpur,2011.0,India,1380000.0,1339000.0,1367000.0,1268848.0,49 +Allahabad,2011.0,India,1360000.0,1294000.0,1295000.0,1212395.0,50 +Jodhpur,2011.0,India,1300000.0,1266000.0,1284000.0,1138300.0,51 +Amritsar,2011.0,India,1300000.0,1264000.0,1265000.0,1183549.0,52 +Dhanbad,2011.0,India,1290000.0,1258000.0,1255000.0,1196214.0,53 +Ranchi,2011.0,India,1270000.0,1246000.0,1262000.0,1120374.0,54 +Tirupur,2011.0,India,1260000.0,1177000.0,1230000.0,963173.0,55 +Gwalior,2011.0,India,1260000.0,1208000.0,1221000.0,1117740.0,56 +Kotah,2011.0,India,1180000.0,1138000.0,1163000.0,1001964.0,57 +Quetta,1998.0,Pakistán,1160000.0,1100000.0,1109000.0,565137.0,58 +Bareilly,2011.0,India,1150000.0,1094000.0,1111000.0,985752.0,59 +Thiruvananthapuram,2011.0,India,1120000.0,1921000.0,1965000.0,1679754.0,60 +Tiruchirappalli,2011.0,India,1120000.0,1101000.0,1106000.0,1022518.0,61 +Mysore,2011.0,India,1110000.0,1078000.0,1082000.0,990900.0,62 +Aligarh,2011.0,India,1080000.0,1020000.0,1037000.0,911223.0,63 +Moradabad,2011.0,India,1080000.0,1004000.0,1023000.0,887871.0,64 +Khulna,2011.0,Bangladés,1070000.0,1000000.0,1022000.0,1046341.0,65 +Guwahati,2011.0,India,1050000.0,1039000.0,1042000.0,962334.0,66 +Hubli - Dharwad,2011.0,India,1040000.0,613000.0,1020000.0,943788.0,67 +Solapur,2011.0,India,1030000.0,991000.0,986000.0,951558.0,68 +Salem,2011.0,India,1020000.0,996000.0,1003000.0,917414.0,69 +Jalandhar,2011.0,India,1020000.0,948000.0,954000.0,874412.0,70 +"Cantón (incluyendo Dongguan, Foshan, Jiangmen, Shenzhen y Zhongshan)",2010.0,China,46900000.0,,,,1 +Tokio,2010.0,Japón,39500000.0,37843000.0,38001000.0,,2 +Shanghái (incluyendo Suzhou y Kunshan),2010.0,China,30400000.0,,,,3 +Seúl (incluyendo Incheon y Suwon),2010.0,Corea del Sur,24300000.0,23480000.0,,23836272.0,4 +Pekín,2010.0,China,20700000.0,21009000.0,20384000.0,16446857.0,5 +Osaka,2010.0,Japón,17800000.0,17444000.0,20238000.0,,6 +Tianjin,2010.0,China,11200000.0,10920000.0,11210000.0,9290263.0,7 +Nagoya,2010.0,Japón,10400000.0,10177000.0,9406000.0,,8 +Xiamen (incluyendo Quanzhou),2010.0,China,9850000.0,,,,9 +Chengdu,2010.0,China,9400000.0,10376000.0,7556000.0,6316922.0,10 +Taipéi,,Taiwán,9000000.0,7438000.0,2666000.0,,11 +Hangzhou (incluyendo Shaoxing),2010.0,China,8150000.0,,,6887819.0,12 +Wuhan,2010.0,China,7950000.0,7509000.0,7906000.0,7541527.0,13 +"Shantou (incluyendo Chaozhou, Puning, Chaoyang y Chaonan)",2010.0,China,7850000.0,,,,14 +Shenyang (incluyendo Fushun),2010.0,China,7600000.0,,,7037040.0,15 +Hong Kong,2011.0,Hong Kong,7200000.0,7246000.0,7314000.0,7071576.0,16 +Chongqing,2010.0,China,6950000.0,7217000.0,13332000.0,6263790.0,17 +Nankín,2010.0,China,6750000.0,6155000.0,7369000.0,5827888.0,18 +Xi'an,2010.0,China,6550000.0,5977000.0,6044000.0,5206253.0,19 +Wenzhou (incluyendo Rui'an),2010.0,China,5800000.0,,3208000.0,,20 +Qingdao,2010.0,China,5650000.0,5816000.0,4566000.0,3990942.0,21 +Harbin,2010.0,China,5100000.0,4815000.0,5457000.0,4596313.0,22 +Zhengzhou,2010.0,China,4600000.0,4942000.0,4387000.0,3677032.0,24 +Hefei,2010.0,China,4475000.0,3665000.0,3348000.0,3098727.0,25 +Dalian,2010.0,China,4425000.0,4183000.0,4489000.0,3902467.0,26 +Changsha,2010.0,China,4375000.0,3657000.0,3761000.0,3193354.0,27 +Busán,2010.0,Corea del Sur,4250000.0,3906000.0,3216000.0,3414950.0,28 +Taiyuan,2010.0,China,4150000.0,3702000.0,3482000.0,3154157.0,29 +Kunming,2010.0,China,3925000.0,3649000.0,3780000.0,3278777.0,30 +Jinan,2010.0,China,3900000.0,3789000.0,4032000.0,3527566.0,31 +Fuzhou,2010.0,China,3875000.0,3962000.0,3283000.0,2824414.0,32 +Shijiazhuang,2010.0,China,3775000.0,3367000.0,3264000.0,2770344.0,33 +Changchun,2010.0,China,3675000.0,3368000.0,3762000.0,3411209.0,34 +Nanchang,2010.0,China,3600000.0,2637000.0,2527000.0,2223661.0,35 +Ürümqi,2010.0,China,3550000.0,3184000.0,3499000.0,2853398.0,36 +Ningbo,2010.0,China,3300000.0,3753000.0,3132000.0,2580073.0,37 +Zibo,2010.0,China,3300000.0,1646000.0,2430000.0,2261717.0,38 +Wuxi,2010.0,China,3225000.0,3597000.0,3049000.0,2757736.0,39 +Nanning,2010.0,China,3150000.0,2590000.0,3234000.0,2660833.0,40 +Guiyang,2010.0,China,2850000.0,2955000.0,2871000.0,2520061.0,41 +Lanzhou,2010.0,China,2825000.0,2703000.0,2723000.0,2438595.0,42 +Pionyang,2008.0,Corea del Norte,2800000.0,2850000.0,2863000.0,2581076.0,43 +Kaohsiung,,Taiwán,2775000.0,2599000.0,1523000.0,,44 +Huizhou,2010.0,China,2750000.0,1763000.0,2312000.0,1807858.0,45 +Daegu,2010.0,Corea del Sur,2750000.0,2382000.0,2244000.0,2446418.0,46 +Changzhou,2010.0,China,2625000.0,3425000.0,2584000.0,2257376.0,47 +Jiangyin,2010.0,China,2625000.0,3056000.0,686000.0,1013670.0,48 +Xuzhou,2010.0,China,2525000.0,1301000.0,1918000.0,2214795.0,49 +Anshan,2010.0,China,2500000.0,1516000.0,1559000.0,1504996.0,50 +Sapporo,2010.0,Japón,2475000.0,2570000.0,2571000.0,,51 +Tangshan,2010.0,China,2425000.0,2378000.0,2743000.0,2128191.0,53 +Taichung,,Taiwán,2350000.0,2935000.0,1225000.0,,54 +Okayama,2010.0,Japón,2200000.0,707000.0,502000.0,,55 +Baotou,2010.0,China,2125000.0,2159000.0,1957000.0,1900373.0,56 +Yantai,2010.0,China,2075000.0,1520000.0,2114000.0,1797871.0,57 +Taizhou (incluyendo Wenling),2010.0,China,2050000.0,,1648000.0,,58 +Cixi,2010.0,China,2050000.0,1490000.0,1303000.0,1059942.0,59 +Luoyang,2010.0,China,1940000.0,1939000.0,2015000.0,1584463.0,60 +Nantong,2010.0,China,1910000.0,1184000.0,1978000.0,1612385.0,61 +Liuzhou,2010.0,China,1890000.0,1574000.0,1619000.0,1410712.0,62 +Hiroshima,2010.0,Japón,1870000.0,1377000.0,2173000.0,,63 +Huai'an,2010.0,China,1840000.0,2282000.0,2000000.0,1523655.0,64 +Haikou,2010.0,China,1770000.0,1981000.0,1903000.0,1517410.0,65 +Yangzhou,2010.0,China,1760000.0,1561000.0,1765000.0,1077531.0,66 +Hohhot,2010.0,China,1750000.0,2219000.0,1785000.0,1497110.0,67 +Huainan,2010.0,China,1740000.0,1142000.0,1327000.0,1238488.0,68 +Linyi,2010.0,China,1700000.0,2465000.0,1706000.0,1522488.0,69 +Hengyang,2010.0,China,1680000.0,987000.0,1301000.0,1115645.0,70 +Daejeon,2010.0,Corea del Sur,1600000.0,1564000.0,1564000.0,1501859.0,71 +Weifang (incluyendo Zhucheng),2010.0,China,1590000.0,,2195000.0,,72 +Baoding,2010.0,China,1590000.0,1297000.0,1106000.0,1038195.0,73 +Gwangju,2010.0,Corea del Sur,1580000.0,1601000.0,1536000.0,1475745.0,74 +Daqing,2010.0,China,1550000.0,983000.0,1621000.0,1433698.0,75 +Xiangyang,2010.0,China,1550000.0,1183000.0,1533000.0,1433057.0,76 +Yiwu,2010.0,China,1550000.0,1704000.0,1080000.0,878973.0,77 +Zhuhai,2010.0,China,1540000.0,1547000.0,1542000.0,1369538.0,78 +Datong,2010.0,China,1510000.0,1709000.0,1532000.0,1362314.0,79 +Yinchuan,2010.0,China,1500000.0,1614000.0,1596000.0,1159457.0,80 +Jilin,2010.0,China,1500000.0,1633000.0,1520000.0,1469722.0,81 +Sendai,2010.0,Japón,1480000.0,1277000.0,2091000.0,,82 +Jiaozuo,2010.0,China,1350000.0,809000.0,732000.0,702527.0,83 +Handan,2010.0,China,1340000.0,2000000.0,1634000.0,919295.0,84 +Putian,2010.0,China,1340000.0,1468000.0,1438000.0,1107199.0,85 +Xiangtan,2010.0,China,1320000.0,1007000.0,1010000.0,903287.0,86 +Xining,2010.0,China,1310000.0,1345000.0,1323000.0,1153417.0,87 +Huaibei,2010.0,China,1300000.0,1116000.0,981000.0,854696.0,88 +Tainan,,Taiwán,1300000.0,1216000.0,815000.0,,89 +Xinxiang,2010.0,China,1290000.0,1074000.0,991000.0,918078.0,90 +Wuhu,2010.0,China,1280000.0,1456000.0,1424000.0,1108087.0,91 +Ulán Bator,2010.0,Mongolia,1280000.0,1237000.0,1377000.0,1144954.0,92 +Xingtai,2010.0,China,1280000.0,749000.0,742000.0,668765.0,93 +Yancheng,2010.0,China,1240000.0,935000.0,1436000.0,1136826.0,94 +Taian,2010.0,China,1220000.0,817000.0,1220000.0,1123541.0,95 +Guilin,2010.0,China,1190000.0,949000.0,1040000.0,963629.0,96 +Zhangjiakou,2010.0,China,1180000.0,1156000.0,983000.0,924628.0,97 +Naha,2010.0,Japón,1180000.0,1007000.0,321000.0,,98 +Mianyang,2010.0,China,1160000.0,585000.0,1065000.0,967006.0,99 +Zhanjiang,2010.0,China,1150000.0,1042000.0,1149000.0,1038762.0,100 +Bengbu,2010.0,China,1150000.0,961000.0,842000.0,793866.0,101 +Kumamoto,2010.0,Japón,1150000.0,697000.0,601000.0,,102 +Yichang,2010.0,China,1140000.0,1039000.0,1264000.0,1049363.0,103 +Qingyuan,2010.0,China,1130000.0,588000.0,694000.0,916453.0,104 +Ulsan,2010.0,Corea del Sur,1120000.0,900000.0,904000.0,1082567.0,105 +Zunyi,2010.0,China,1120000.0,108000.0,803000.0,715148.0,106 +Maanshan,2010.0,China,1110000.0,827000.0,858000.0,657847.0,107 +Qinhuangdao,2010.0,China,1100000.0,1041000.0,1109000.0,967877.0,108 +Changshu,2010.0,China,1100000.0,1344000.0,726000.0,929124.0,109 +Changwon,2010.0,Corea del Sur,1090000.0,990000.0,1039000.0,1058021.0,110 +Cangnan,2010.0,China,1090000.0,823000.0,,648219.0,111 +Zhuzhou,2010.0,China,1080000.0,1007000.0,1083000.0,999404.0,112 +Maoming,2010.0,China,1080000.0,619000.0,609000.0,1033196.0,113 +Benxi,2010.0,China,1070000.0,888000.0,1070000.0,1000128.0,114 +Qiqihar,2010.0,China,1060000.0,1241000.0,1452000.0,1314720.0,115 +Lianyungang,2010.0,China,1060000.0,1128000.0,1099000.0,897393.0,116 +Zhenjiang,2010.0,China,1050000.0,969000.0,1050000.0,950516.0,117 +Kaifeng,2010.0,China,1040000.0,633000.0,804000.0,725573.0,118 +Rizhao,2010.0,China,1040000.0,937000.0,1062000.0,902272.0,119 +Nanchong,2010.0,China,1030000.0,692000.0,1050000.0,890402.0,120 +Jinzhou,2010.0,China,1030000.0,922000.0,1035000.0,946098.0,121 +Chifeng,2010.0,China,1020000.0,1230000.0,1018000.0,902285.0,122 +Fuji,2010.0,Japón,1010000.0,718000.0,,,123 +Nanyang,2010.0,China,1000000.0,731000.0,1011000.0,899899.0,124 +Wanzhou,2010.0,China,1000000.0,582000.0,,849662.0,125 +Yakarta (incluyendo Bogor),2010.0,Indonesia,27700000.0,30539000.0,,,1 +Manila,2010.0,Filipinas,23100000.0,24123000.0,12946000.0,,2 +Bangkok (incluyendo Samut Prakan),2010.0,Tailandia,16700000.0,14998000.0,11084000.0,,3 +Ciudad Ho Chi Minh,2009.0,Vietnam,8150000.0,8957000.0,7298000.0,5880615.0,4 +Kuala Lumpur,2000.0,Malasia,6950000.0,7088000.0,6837000.0,,5 +Singapur - Johor Bahru,,Singapur Malasia,6900000.0,,,,6 +Bandung,2010.0,Indonesia,5900000.0,5695000.0,2544000.0,,7 +Rangún,2014.0,Birmania,5100000.0,4800000.0,4802000.0,4728524.0,8 +Surabaya,2010.0,Indonesia,4675000.0,4881000.0,2853000.0,,9 +Medan,2010.0,Indonesia,3400000.0,3942000.0,2204000.0,,10 +Hanói,2009.0,Vietnam,2925000.0,3715000.0,3629000.0,2316772.0,11 +Cebú,2010.0,Filipinas,2250000.0,2535000.0,951000.0,,12 +Semarang,2010.0,Indonesia,2025000.0,1630000.0,1630000.0,1520481.0,13 +Nom Pen,2008.0,Camboya,1830000.0,1729000.0,1731000.0,1416582.0,14 +Makasar,2010.0,Indonesia,1760000.0,1484000.0,1489000.0,1331391.0,15 +Palembang,2010.0,Indonesia,1680000.0,1434000.0,1455000.0,1440678.0,16 +George Town,2000.0,Malasia,1530000.0,1336000.0,,,17 +Denpasar,2010.0,Indonesia,1470000.0,1175000.0,1107000.0,,18 +Malang,2010.0,Indonesia,1410000.0,1114000.0,856000.0,820243.0,19 +Mandalay,2014.0,Birmania,1390000.0,1160000.0,1167000.0,1225546.0,20 +Davao,2010.0,Filipinas,1330000.0,1630000.0,1630000.0,,21 +Yogyakarta,2010.0,Indonesia,1270000.0,1831000.0,385000.0,,22 +Chonburi,2010.0,Tailandia,1230000.0,665000.0,518000.0,,23 +Surakarta,2010.0,Indonesia,1210000.0,1318000.0,504000.0,,24 +Batam,2010.0,Indonesia,1160000.0,1142000.0,1391000.0,917998.0,25 +Pekanbaru,2010.0,Indonesia,1160000.0,1100000.0,1121000.0,882045.0,26 +Serang,2010.0,Indonesia,1090000.0,564000.0,,,27 +Bandar Lampung,2010.0,Indonesia,1080000.0,909000.0,965000.0,873007.0,28 +Ángeles,2010.0,Filipinas,1060000.0,883000.0,363000.0,,29 +Londres,2011.0,Reino Unido,14300000.0,10236000.0,10313000.0,11140445.0,1 +París,1999.0,Francia,11200000.0,10858000.0,10843000.0,9738809.0,2 +Madrid,2011.0,España,6400000.0,6171000.0,6199000.0,,3 +Región del Ruhr [n 7]​,,Alemania,5600000.0,,,,4 +Milán,2011.0,Italia,5150000.0,5257000.0,3099000.0,,5 +Colonia - Düsseldorf,2011.0,Alemania,4825000.0,,,,6 +Barcelona,2011.0,España,4700000.0,4693000.0,5258000.0,,7 +Berlín,2011.0,Alemania,4450000.0,4069000.0,3563000.0,,8 +Nápoles,2011.0,Italia,4225000.0,3706000.0,2202000.0,,9 +Atenas,2011.0,Grecia,3600000.0,3484000.0,3052000.0,3168846.0,10 +Roma,2011.0,Italia,3550000.0,3906000.0,3718000.0,,11 +Birmingham,2011.0,Reino Unido,3100000.0,2512000.0,2515000.0,2697168.0,12 +Róterdam,2001.0,Países Bajos,3100000.0,2660000.0,993000.0,,13 +Fráncfort del Meno,2011.0,Alemania,3100000.0,1915000.0,715000.0,,14 +Mánchester,2011.0,Reino Unido,3000000.0,2639000.0,2646000.0,2637335.0,15 +Hamburgo,2011.0,Alemania,2750000.0,2087000.0,1831000.0,,16 +Lisboa,2001.0,Portugal,2600000.0,2666000.0,2884000.0,,17 +Ámsterdam,2001.0,Países Bajos,2375000.0,1624000.0,1091000.0,,18 +Stuttgart,2011.0,Alemania,2300000.0,1379000.0,626000.0,,19 +Múnich,2011.0,Alemania,2175000.0,1981000.0,1438000.0,,20 +Viena,2011.0,Austria,2125000.0,1763000.0,1753000.0,2015580.0,21 +Leeds,2011.0,Reino Unido,2125000.0,1893000.0,1912000.0,2058861.0,22 +Estocolmo,,Suecia,2075000.0,1484000.0,1486000.0,,23 +Bruselas,,Bélgica,2000000.0,2089000.0,2045000.0,,24 +Lyon,1999.0,Francia,1920000.0,1583000.0,1609000.0,1428998.0,25 +Liverpool,2011.0,Reino Unido,1830000.0,875000.0,870000.0,1367147.0,26 +Valencia,2011.0,España,1780000.0,1561000.0,810000.0,,27 +Turín,2011.0,Italia,1670000.0,1521000.0,1765000.0,,28 +Marsella,1999.0,Francia,1640000.0,1397000.0,1605000.0,1463016.0,29 +Glasgow,2011.0,Reino Unido,1610000.0,1220000.0,1223000.0,1601154.0,30 +Copenhague,,Dinamarca,1600000.0,1248000.0,1268000.0,,31 +Sheffield,2011.0,Reino Unido,1530000.0,706000.0,706000.0,795844.0,32 +Mannheim,2011.0,Alemania,1520000.0,559000.0,319000.0,,33 +Newcastle upon Tyne,2011.0,Reino Unido,1460000.0,793000.0,791000.0,1220781.0,34 +Zúrich,2010.0,Suiza,1350000.0,785000.0,1246000.0,1249750.0,35 +Nottingham,2011.0,Reino Unido,1350000.0,755000.0,755000.0,754789.0,36 +Sevilla,2011.0,España,1340000.0,1107000.0,701000.0,698042.0,37 +Dublín,2011.0,Irlanda,1320000.0,1160000.0,1169000.0,1110627.0,38 +Lille,1999.0,Francia,1270000.0,1018000.0,1027000.0,999797.0,39 +Helsinki,2000.0,Finlandia,1220000.0,1208000.0,1180000.0,1027305.0,40 +Oporto,2001.0,Portugal,1190000.0,1474000.0,1299000.0,,41 +Núremberg,2011.0,Alemania,1160000.0,670000.0,517000.0,,42 +Oslo,1990.0,Noruega,1130000.0,975000.0,986000.0,685530.0,43 +Southampton,2011.0,Reino Unido,1130000.0,883000.0,882000.0,1060326.0,44 +Hannover,2011.0,Alemania,1120000.0,711000.0,533000.0,,45 +Amberes,,Bélgica,1020000.0,1008000.0,994000.0,,46 +Málaga,2011.0,España,1010000.0,716000.0,574000.0,561435.0,47 +Moscú,2010.0,Rusia,16800000.0,16170000.0,12166000.0,11612885.0,1 +Estambul [n 8]​,2000.0,Turquía,14200000.0,13287000.0,14164000.0,8803468.0,2 +San Petersburgo,2010.0,Rusia,5400000.0,5126000.0,4993000.0,4879566.0,3 +Kiev,2001.0,Ucrania,3375000.0,2241000.0,2942000.0,2611327.0,4 +Budapest,2011.0,Hungría,2550000.0,1710000.0,1714000.0,1729040.0,5 +Katowice,2011.0,Polonia,2400000.0,2190000.0,303000.0,,6 +Varsovia,2011.0,Polonia,2275000.0,1720000.0,1722000.0,,7 +Bucarest,2011.0,Rumania,2175000.0,1860000.0,1868000.0,1883425.0,8 +Minsk,2009.0,Bielorrusia,1950000.0,1910000.0,1915000.0,1836808.0,9 +Nizni Nóvgorod,2010.0,Rusia,1750000.0,1201000.0,1212000.0,1250619.0,10 +Járkov,2001.0,Ucrania,1650000.0,1440000.0,1441000.0,1470902.0,11 +Donetsk,2001.0,Ucrania,1480000.0,930000.0,934000.0,1016194.0,12 +Praga,2001.0,República Checa,1460000.0,1310000.0,1314000.0,1169106.0,13 +Volgogrado,2010.0,Rusia,1410000.0,999000.0,1022000.0,1021215.0,14 +Belgrado,2011.0,Serbia,1400000.0,1180000.0,1182000.0,1166763.0,15 +Dnipropetrovsk,2001.0,Ucrania,1390000.0,950000.0,957000.0,1065008.0,16 +Sofía,2011.0,Bulgaria,1320000.0,1195000.0,1226000.0,1202761.0,17 +Samara,2010.0,Rusia,1320000.0,1162000.0,1164000.0,1164685.0,18 +Rostov del Don,2010.0,Rusia,1280000.0,1090000.0,1097000.0,1089261.0,19 +Kazán,2010.0,Rusia,1210000.0,1160000.0,1162000.0,1143535.0,20 +Ufá,2010.0,Rusia,1110000.0,1024000.0,1070000.0,1062319.0,21 +Odesa,2001.0,Ucrania,1110000.0,1010000.0,1010000.0,1029049.0,22 +Perm,2010.0,Rusia,1100000.0,974000.0,982000.0,991162.0,23 +Sarátov,2010.0,Rusia,1090000.0,772000.0,815000.0,837900.0,24 +Vorónezh,2010.0,Rusia,1030000.0,897000.0,911000.0,975373.0,25 +Sídney,2011.0,Australia,4850000.0,4036000.0,4505000.0,4028525.0,1 +Melbourne,2011.0,Australia,4350000.0,3906000.0,4203000.0,3847567.0,2 +Brisbane,2011.0,Australia,2875000.0,1999000.0,2202000.0,1977316.0,3 +Perth,2011.0,Australia,2025000.0,1751000.0,1861000.0,1670952.0,4 +Auckland,2013.0,Nueva Zelanda,1404000.0,1356000.0,1344000.0,1308831.0,5 +Adelaida,2011.0,Australia,1290000.0,1140000.0,1256000.0,1198467.0,6 +Honolulu[n 9]​,2010.0,Estados Unidos,1000000.0,842000.0,848000.0,953207.0,7 +Milán,2011.0,Italia,5150000.0,5257000.0,3099000.0,1242123.0,8 +Colonia - Düsseldorf,2011.0,Alemania,4825000.0,8783000.0,1640000.0,1591866.0,9 +Barcelona,2011.0,España,4700000.0,4693000.0,5258000.0,1611013.0,10 +Berlín,2011.0,Alemania,4450000.0,4069000.0,3563000.0,3292365.0,11 +Nápoles,2011.0,Italia,4225000.0,3706000.0,2202000.0,962003.0,12 +Atenas,2011.0,Grecia,3600000.0,3484000.0,3052000.0,3168846.0,13 +Roma,2011.0,Italia,3550000.0,3906000.0,3718000.0,2617175.0,14 +Kiev,2001.0,Ucrania,3375000.0,2241000.0,2942000.0,2611327.0,15 +Birmingham,2011.0,Reino Unido,3100000.0,2512000.0,2515000.0,2697168.0,16 +Róterdam,2001.0,Países Bajos,3100000.0,2660000.0,993000.0,608422.0,17 +Fráncfort del Meno,2011.0,Alemania,3100000.0,1915000.0,715000.0,667925.0,18 +Mánchester,2011.0,Reino Unido,3000000.0,2639000.0,2646000.0,2637335.0,19 +Hamburgo,2011.0,Alemania,2750000.0,2087000.0,1831000.0,1706696.0,20 +Lisboa,2001.0,Portugal,2600000.0,2666000.0,2884000.0,564657.0,21 +Budapest,2011.0,Hungría,2550000.0,1710000.0,1714000.0,1729040.0,22 +Katowice,2011.0,Polonia,2400000.0,2190000.0,303000.0,310764.0,23 +Ámsterdam,2001.0,Países Bajos,2375000.0,1624000.0,1091000.0,734533.0,24 +Stuttgart,2011.0,Alemania,2300000.0,1379000.0,626000.0,585890.0,25 +Varsovia,2011.0,Polonia,2275000.0,1720000.0,1722000.0,1700612.0,26 +Bucarest,2011.0,Rumania,2175000.0,1860000.0,1868000.0,1883425.0,27 +Múnich,2011.0,Alemania,2175000.0,1981000.0,1438000.0,1348335.0,28 +Viena,2011.0,Austria,2125000.0,1763000.0,1753000.0,2015580.0,29 +Leeds,2011.0,Reino Unido,2125000.0,1893000.0,1912000.0,2058861.0,30 +Estocolmo,,Suecia,2075000.0,1484000.0,1486000.0,,31 +Bruselas,,Bélgica,2000000.0,2089000.0,2045000.0,,32 +Minsk,2009.0,Bielorrusia,1950000.0,1910000.0,1915000.0,1836808.0,33 +Lyon,1999.0,Francia,1920000.0,1583000.0,1609000.0,1428998.0,34 +Liverpool,2011.0,Reino Unido,1830000.0,875000.0,870000.0,1367147.0,35 +Valencia,2011.0,España,1780000.0,1561000.0,810000.0,792054.0,36 +Nizni Nóvgorod,2010.0,Rusia,1750000.0,1201000.0,1212000.0,1250619.0,37 +Turín,2011.0,Italia,1670000.0,1521000.0,1765000.0,872367.0,38 +Járkov,2001.0,Ucrania,1650000.0,1440000.0,1441000.0,1470902.0,39 +Marsella,1999.0,Francia,1640000.0,1397000.0,1605000.0,1463016.0,40 +Glasgow,2011.0,Reino Unido,1610000.0,1220000.0,1223000.0,1601154.0,41 +Copenhague,,Dinamarca,1600000.0,1248000.0,1268000.0,,42 +Sheffield,2011.0,Reino Unido,1530000.0,706000.0,706000.0,795844.0,43 +Mannheim,2011.0,Alemania,1520000.0,559000.0,319000.0,290117.0,44 +Donetsk,2001.0,Ucrania,1480000.0,930000.0,934000.0,1016194.0,45 +Newcastle upon Tyne,2011.0,Reino Unido,1460000.0,793000.0,791000.0,1220781.0,46 +Praga,2001.0,República Checa,1460000.0,1310000.0,1314000.0,1169106.0,47 +Volgogrado,2010.0,Rusia,1410000.0,999000.0,1022000.0,1021215.0,48 +Belgrado,2011.0,Serbia,1400000.0,1180000.0,1182000.0,1166763.0,49 +Dnipropetrovsk,2001.0,Ucrania,1390000.0,950000.0,957000.0,1065008.0,50