1. Comandos Básicos#
Introducción#
Este taller está diseñado para que los estudiantes desarrollen sus habilidades en la realización de consultas SQL sobre la base de datos «world database», un conjunto de datos realista y ampliamente utilizado para aprender sobre bases de datos relacionales. En este taller, el estudiante aprenderá a realizar consultas básicas y de nivel medio empleando operadores SQL y notación de álgebra relacional para construir y entender mejor las consultas, fortaleciendo el conocimiento de comandos como HAVING, GROUP BY, AVERAGE, COUNT, ORDER BY, LIKE, DISTINCT, BETWEEN, MAX, MIN, y AS, entre otros.
Las consultas se dividen en dos niveles de dificultad: básico, que introduce a los conceptos fundamentales de las consultas SQL, y medio, que desafía a los estudiantes a utilizar operadores de agrupamiento, proyecciones, y condiciones más complejas para extraer y manipular datos. El objetivo es que el estudiante aprenda a traducir problemas de consulta de álgebra relacional a SQL de manera fluida y comprenda cómo aplicar los operadores más importantes de SQL para la manipulación y el análisis de datos en bases de datos relacionales.
Importante
Para este taller utilizaremos la base de datos World que ya tienen desde la instalación o pueden descargar desde Other MySQL Documentation.
Base de Datos (world)#
SHOW Tables;
| Tables_in_world | |
|---|---|
| 0 | city |
| 1 | country |
| 2 | countrylanguage |
Tablas#
Country#
SELECT * FROM country;
| Code | Name | Continent | Region | SurfaceArea | IndepYear | Population | LifeExpectancy | GNP | GNPOld | LocalName | GovernmentForm | HeadOfState | Capital | Code2 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | ABW | Aruba | North America | Caribbean | 193.0 | NaN | 103000 | 78.4 | 828.0 | 793.0 | Aruba | Nonmetropolitan Territory of The Netherlands | Beatrix | 129.0 | AW |
| 1 | AFG | Afghanistan | Asia | Southern and Central Asia | 652090.0 | 1919.0 | 22720000 | 45.9 | 5976.0 | NaN | Afganistan/Afqanestan | Islamic Emirate | Mohammad Omar | 1.0 | AF |
| 2 | AGO | Angola | Africa | Central Africa | 1246700.0 | 1975.0 | 12878000 | 38.3 | 6648.0 | 7984.0 | Angola | Republic | José Eduardo dos Santos | 56.0 | AO |
| 3 | AIA | Anguilla | North America | Caribbean | 96.0 | NaN | 8000 | 76.1 | 63.2 | NaN | Anguilla | Dependent Territory of the UK | Elisabeth II | 62.0 | AI |
| 4 | ALB | Albania | Europe | Southern Europe | 28748.0 | 1912.0 | 3401200 | 71.6 | 3205.0 | 2500.0 | Shqipëria | Republic | Rexhep Mejdani | 34.0 | AL |
| 5 | AND | Andorra | Europe | Southern Europe | 468.0 | 1278.0 | 78000 | 83.5 | 1630.0 | NaN | Andorra | Parliamentary Coprincipality | 55.0 | AD | |
| 6 | ANT | Netherlands Antilles | North America | Caribbean | 800.0 | NaN | 217000 | 74.7 | 1941.0 | NaN | Nederlandse Antillen | Nonmetropolitan Territory of The Netherlands | Beatrix | 33.0 | AN |
| 7 | ARE | United Arab Emirates | Asia | Middle East | 83600.0 | 1971.0 | 2441000 | 74.1 | 37966.0 | 36846.0 | Al-Imarat al-´Arabiya al-Muttahida | Emirate Federation | Zayid bin Sultan al-Nahayan | 65.0 | AE |
| 8 | ARG | Argentina | South America | South America | 2780400.0 | 1816.0 | 37032000 | 75.1 | 340238.0 | 323310.0 | Argentina | Federal Republic | Fernando de la Rúa | 69.0 | AR |
| 9 | ARM | Armenia | Asia | Middle East | 29800.0 | 1991.0 | 3520000 | 66.4 | 1813.0 | 1627.0 | Hajastan | Republic | Robert Kotšarjan | 126.0 | AM |
| 10 | ASM | American Samoa | Oceania | Polynesia | 199.0 | NaN | 68000 | 75.1 | 334.0 | NaN | Amerika Samoa | US Territory | George W. Bush | 54.0 | AS |
| 11 | ATA | Antarctica | Antarctica | Antarctica | 13120000.0 | NaN | 0 | NaN | 0.0 | NaN | – | Co-administrated | NaN | AQ | |
| 12 | ATF | French Southern territories | Antarctica | Antarctica | 7780.0 | NaN | 0 | NaN | 0.0 | NaN | Terres australes françaises | Nonmetropolitan Territory of France | Jacques Chirac | NaN | TF |
| 13 | ATG | Antigua and Barbuda | North America | Caribbean | 442.0 | 1981.0 | 68000 | 70.5 | 612.0 | 584.0 | Antigua and Barbuda | Constitutional Monarchy | Elisabeth II | 63.0 | AG |
| 14 | AUS | Australia | Oceania | Australia and New Zealand | 7741220.0 | 1901.0 | 18886000 | 79.8 | 351182.0 | 392911.0 | Australia | Constitutional Monarchy, Federation | Elisabeth II | 135.0 | AU |
| 15 | AUT | Austria | Europe | Western Europe | 83859.0 | 1918.0 | 8091800 | 77.7 | 211860.0 | 206025.0 | Österreich | Federal Republic | Thomas Klestil | 1523.0 | AT |
| 16 | AZE | Azerbaijan | Asia | Middle East | 86600.0 | 1991.0 | 7734000 | 62.9 | 4127.0 | 4100.0 | Azərbaycan | Republic | İlham Əliyev | 144.0 | AZ |
| 17 | BDI | Burundi | Africa | Eastern Africa | 27834.0 | 1962.0 | 6695000 | 46.2 | 903.0 | 982.0 | Burundi/Uburundi | Republic | Pierre Buyoya | 552.0 | BI |
| 18 | BEL | Belgium | Europe | Western Europe | 30518.0 | 1830.0 | 10239000 | 77.8 | 249704.0 | 243948.0 | België/Belgique | Constitutional Monarchy, Federation | Albert II | 179.0 | BE |
| 19 | BEN | Benin | Africa | Western Africa | 112622.0 | 1960.0 | 6097000 | 50.2 | 2357.0 | 2141.0 | Bénin | Republic | Mathieu Kérékou | 187.0 | BJ |
| 20 | BFA | Burkina Faso | Africa | Western Africa | 274000.0 | 1960.0 | 11937000 | 46.7 | 2425.0 | 2201.0 | Burkina Faso | Republic | Blaise Compaoré | 549.0 | BF |
| 21 | BGD | Bangladesh | Asia | Southern and Central Asia | 143998.0 | 1971.0 | 129155000 | 60.2 | 32852.0 | 31966.0 | Bangladesh | Republic | Shahabuddin Ahmad | 150.0 | BD |
| 22 | BGR | Bulgaria | Europe | Eastern Europe | 110994.0 | 1908.0 | 8190900 | 70.9 | 12178.0 | 10169.0 | Balgarija | Republic | Petar Stojanov | 539.0 | BG |
| 23 | BHR | Bahrain | Asia | Middle East | 694.0 | 1971.0 | 617000 | 73.0 | 6366.0 | 6097.0 | Al-Bahrayn | Monarchy (Emirate) | Hamad ibn Isa al-Khalifa | 149.0 | BH |
| 24 | BHS | Bahamas | North America | Caribbean | 13878.0 | 1973.0 | 307000 | 71.1 | 3527.0 | 3347.0 | The Bahamas | Constitutional Monarchy | Elisabeth II | 148.0 | BS |
| 25 | BIH | Bosnia and Herzegovina | Europe | Southern Europe | 51197.0 | 1992.0 | 3972000 | 71.5 | 2841.0 | NaN | Bosna i Hercegovina | Federal Republic | Ante Jelavic | 201.0 | BA |
| 26 | BLR | Belarus | Europe | Eastern Europe | 207600.0 | 1991.0 | 10236000 | 68.0 | 13714.0 | NaN | Belarus | Republic | Aljaksandr Lukašenka | 3520.0 | BY |
| 27 | BLZ | Belize | North America | Central America | 22696.0 | 1981.0 | 241000 | 70.9 | 630.0 | 616.0 | Belize | Constitutional Monarchy | Elisabeth II | 185.0 | BZ |
| 28 | BMU | Bermuda | North America | North America | 53.0 | NaN | 65000 | 76.9 | 2328.0 | 2190.0 | Bermuda | Dependent Territory of the UK | Elisabeth II | 191.0 | BM |
| 29 | BOL | Bolivia | South America | South America | 1098581.0 | 1825.0 | 8329000 | 63.7 | 8571.0 | 7967.0 | Bolivia | Republic | Hugo Bánzer Suárez | 194.0 | BO |
| 30 | BRA | Brazil | South America | South America | 8547403.0 | 1822.0 | 170115000 | 62.9 | 776739.0 | 804108.0 | Brasil | Federal Republic | Fernando Henrique Cardoso | 211.0 | BR |
| 31 | BRB | Barbados | North America | Caribbean | 430.0 | 1966.0 | 270000 | 73.0 | 2223.0 | 2186.0 | Barbados | Constitutional Monarchy | Elisabeth II | 174.0 | BB |
| 32 | BRN | Brunei | Asia | Southeast Asia | 5765.0 | 1984.0 | 328000 | 73.6 | 11705.0 | 12460.0 | Brunei Darussalam | Monarchy (Sultanate) | Haji Hassan al-Bolkiah | 538.0 | BN |
| 33 | BTN | Bhutan | Asia | Southern and Central Asia | 47000.0 | 1910.0 | 2124000 | 52.4 | 372.0 | 383.0 | Druk-Yul | Monarchy | Jigme Singye Wangchuk | 192.0 | BT |
| 34 | BVT | Bouvet Island | Antarctica | Antarctica | 59.0 | NaN | 0 | NaN | 0.0 | NaN | Bouvetøya | Dependent Territory of Norway | Harald V | NaN | BV |
| 35 | BWA | Botswana | Africa | Southern Africa | 581730.0 | 1966.0 | 1622000 | 39.3 | 4834.0 | 4935.0 | Botswana | Republic | Festus G. Mogae | 204.0 | BW |
| 36 | CAF | Central African Republic | Africa | Central Africa | 622984.0 | 1960.0 | 3615000 | 44.0 | 1054.0 | 993.0 | Centrafrique/Bê-Afrîka | Republic | Ange-Félix Patassé | 1889.0 | CF |
| 37 | CAN | Canada | North America | North America | 9970610.0 | 1867.0 | 31147000 | 79.4 | 598862.0 | 625626.0 | Canada | Constitutional Monarchy, Federation | Elisabeth II | 1822.0 | CA |
| 38 | CCK | Cocos (Keeling) Islands | Oceania | Australia and New Zealand | 14.0 | NaN | 600 | NaN | 0.0 | NaN | Cocos (Keeling) Islands | Territory of Australia | Elisabeth II | 2317.0 | CC |
| 39 | CHE | Switzerland | Europe | Western Europe | 41284.0 | 1499.0 | 7160400 | 79.6 | 264478.0 | 256092.0 | Schweiz/Suisse/Svizzera/Svizra | Federation | Adolf Ogi | 3248.0 | CH |
| 40 | CHL | Chile | South America | South America | 756626.0 | 1810.0 | 15211000 | 75.7 | 72949.0 | 75780.0 | Chile | Republic | Ricardo Lagos Escobar | 554.0 | CL |
| 41 | CHN | China | Asia | Eastern Asia | 9572900.0 | -1523.0 | 1277558000 | 71.4 | 982268.0 | 917719.0 | Zhongquo | People'sRepublic | Jiang Zemin | 1891.0 | CN |
| 42 | CIV | Côte d’Ivoire | Africa | Western Africa | 322463.0 | 1960.0 | 14786000 | 45.2 | 11345.0 | 10285.0 | Côte d’Ivoire | Republic | Laurent Gbagbo | 2814.0 | CI |
| 43 | CMR | Cameroon | Africa | Central Africa | 475442.0 | 1960.0 | 15085000 | 54.8 | 9174.0 | 8596.0 | Cameroun/Cameroon | Republic | Paul Biya | 1804.0 | CM |
| 44 | COD | Congo, The Democratic Republic of the | Africa | Central Africa | 2344858.0 | 1960.0 | 51654000 | 48.8 | 6964.0 | 2474.0 | République Démocratique du Congo | Republic | Joseph Kabila | 2298.0 | CD |
| 45 | COG | Congo | Africa | Central Africa | 342000.0 | 1960.0 | 2943000 | 47.4 | 2108.0 | 2287.0 | Congo | Republic | Denis Sassou-Nguesso | 2296.0 | CG |
| 46 | COK | Cook Islands | Oceania | Polynesia | 236.0 | NaN | 20000 | 71.1 | 100.0 | NaN | The Cook Islands | Nonmetropolitan Territory of New Zealand | Elisabeth II | 583.0 | CK |
| 47 | COL | Colombia | South America | South America | 1138914.0 | 1810.0 | 42321000 | 70.3 | 102896.0 | 105116.0 | Colombia | Republic | Andrés Pastrana Arango | 2257.0 | CO |
| 48 | COM | Comoros | Africa | Eastern Africa | 1862.0 | 1975.0 | 578000 | 60.0 | 4401.0 | 4361.0 | Komori/Comores | Republic | Azali Assoumani | 2295.0 | KM |
| 49 | CPV | Cape Verde | Africa | Western Africa | 4033.0 | 1975.0 | 428000 | 68.9 | 435.0 | 420.0 | Cabo Verde | Republic | António Mascarenhas Monteiro | 1859.0 | CV |
| 50 | CRI | Costa Rica | North America | Central America | 51100.0 | 1821.0 | 4023000 | 75.8 | 10226.0 | 9757.0 | Costa Rica | Republic | Miguel Ángel Rodríguez Echeverría | 584.0 | CR |
| 51 | CUB | Cuba | North America | Caribbean | 110861.0 | 1902.0 | 11201000 | 76.2 | 17843.0 | 18862.0 | Cuba | Socialistic Republic | Fidel Castro Ruz | 2413.0 | CU |
| 52 | CXR | Christmas Island | Oceania | Australia and New Zealand | 135.0 | NaN | 2500 | NaN | 0.0 | NaN | Christmas Island | Territory of Australia | Elisabeth II | 1791.0 | CX |
| 53 | CYM | Cayman Islands | North America | Caribbean | 264.0 | NaN | 38000 | 78.9 | 1263.0 | 1186.0 | Cayman Islands | Dependent Territory of the UK | Elisabeth II | 553.0 | KY |
| 54 | CYP | Cyprus | Asia | Middle East | 9251.0 | 1960.0 | 754700 | 76.7 | 9333.0 | 8246.0 | Kýpros/Kibris | Republic | Glafkos Klerides | 2430.0 | CY |
| 55 | CZE | Czech Republic | Europe | Eastern Europe | 78866.0 | 1993.0 | 10278100 | 74.5 | 55017.0 | 52037.0 | ¸esko | Republic | Václav Havel | 3339.0 | CZ |
| 56 | DEU | Germany | Europe | Western Europe | 357022.0 | 1955.0 | 82164700 | 77.4 | 2133367.0 | 2102826.0 | Deutschland | Federal Republic | Johannes Rau | 3068.0 | DE |
| 57 | DJI | Djibouti | Africa | Eastern Africa | 23200.0 | 1977.0 | 638000 | 50.8 | 382.0 | 373.0 | Djibouti/Jibuti | Republic | Ismail Omar Guelleh | 585.0 | DJ |
| 58 | DMA | Dominica | North America | Caribbean | 751.0 | 1978.0 | 71000 | 73.4 | 256.0 | 243.0 | Dominica | Republic | Vernon Shaw | 586.0 | DM |
| 59 | DNK | Denmark | Europe | Nordic Countries | 43094.0 | 800.0 | 5330000 | 76.5 | 174099.0 | 169264.0 | Danmark | Constitutional Monarchy | Margrethe II | 3315.0 | DK |
| 60 | DOM | Dominican Republic | North America | Caribbean | 48511.0 | 1844.0 | 8495000 | 73.2 | 15846.0 | 15076.0 | República Dominicana | Republic | Hipólito Mejía Domínguez | 587.0 | DO |
| 61 | DZA | Algeria | Africa | Northern Africa | 2381741.0 | 1962.0 | 31471000 | 69.7 | 49982.0 | 46966.0 | Al-Jaza’ir/Algérie | Republic | Abdelaziz Bouteflika | 35.0 | DZ |
| 62 | ECU | Ecuador | South America | South America | 283561.0 | 1822.0 | 12646000 | 71.1 | 19770.0 | 19769.0 | Ecuador | Republic | Gustavo Noboa Bejarano | 594.0 | EC |
| 63 | EGY | Egypt | Africa | Northern Africa | 1001449.0 | 1922.0 | 68470000 | 63.3 | 82710.0 | 75617.0 | Misr | Republic | Hosni Mubarak | 608.0 | EG |
| 64 | ERI | Eritrea | Africa | Eastern Africa | 117600.0 | 1993.0 | 3850000 | 55.8 | 650.0 | 755.0 | Ertra | Republic | Isayas Afewerki [Isaias Afwerki] | 652.0 | ER |
| 65 | ESH | Western Sahara | Africa | Northern Africa | 266000.0 | NaN | 293000 | 49.8 | 60.0 | NaN | As-Sahrawiya | Occupied by Marocco | Mohammed Abdel Aziz | 2453.0 | EH |
| 66 | ESP | Spain | Europe | Southern Europe | 505992.0 | 1492.0 | 39441700 | 78.8 | 553233.0 | 532031.0 | España | Constitutional Monarchy | Juan Carlos I | 653.0 | ES |
| 67 | EST | Estonia | Europe | Baltic Countries | 45227.0 | 1991.0 | 1439200 | 69.5 | 5328.0 | 3371.0 | Eesti | Republic | Lennart Meri | 3791.0 | EE |
| 68 | ETH | Ethiopia | Africa | Eastern Africa | 1104300.0 | -1000.0 | 62565000 | 45.2 | 6353.0 | 6180.0 | YeItyop´iya | Republic | Negasso Gidada | 756.0 | ET |
| 69 | FIN | Finland | Europe | Nordic Countries | 338145.0 | 1917.0 | 5171300 | 77.4 | 121914.0 | 119833.0 | Suomi | Republic | Tarja Halonen | 3236.0 | FI |
| 70 | FJI | Fiji Islands | Oceania | Melanesia | 18274.0 | 1970.0 | 817000 | 67.9 | 1536.0 | 2149.0 | Fiji Islands | Republic | Josefa Iloilo | 764.0 | FJ |
| 71 | FLK | Falkland Islands | South America | South America | 12173.0 | NaN | 2000 | NaN | 0.0 | NaN | Falkland Islands | Dependent Territory of the UK | Elisabeth II | 763.0 | FK |
| 72 | FRA | France | Europe | Western Europe | 551500.0 | 843.0 | 59225700 | 78.8 | 1424285.0 | 1392448.0 | France | Republic | Jacques Chirac | 2974.0 | FR |
| 73 | FRO | Faroe Islands | Europe | Nordic Countries | 1399.0 | NaN | 43000 | 78.4 | 0.0 | NaN | Føroyar | Part of Denmark | Margrethe II | 901.0 | FO |
| 74 | FSM | Micronesia, Federated States of | Oceania | Micronesia | 702.0 | 1990.0 | 119000 | 68.6 | 212.0 | NaN | Micronesia | Federal Republic | Leo A. Falcam | 2689.0 | FM |
| 75 | GAB | Gabon | Africa | Central Africa | 267668.0 | 1960.0 | 1226000 | 50.1 | 5493.0 | 5279.0 | Le Gabon | Republic | Omar Bongo | 902.0 | GA |
| 76 | GBR | United Kingdom | Europe | British Islands | 242900.0 | 1066.0 | 59623400 | 77.7 | 1378330.0 | 1296830.0 | United Kingdom | Constitutional Monarchy | Elisabeth II | 456.0 | GB |
| 77 | GEO | Georgia | Asia | Middle East | 69700.0 | 1991.0 | 4968000 | 64.5 | 6064.0 | 5924.0 | Sakartvelo | Republic | Eduard Ševardnadze | 905.0 | GE |
| 78 | GHA | Ghana | Africa | Western Africa | 238533.0 | 1957.0 | 20212000 | 57.4 | 7137.0 | 6884.0 | Ghana | Republic | John Kufuor | 910.0 | GH |
| 79 | GIB | Gibraltar | Europe | Southern Europe | 6.0 | NaN | 25000 | 79.0 | 258.0 | NaN | Gibraltar | Dependent Territory of the UK | Elisabeth II | 915.0 | GI |
| 80 | GIN | Guinea | Africa | Western Africa | 245857.0 | 1958.0 | 7430000 | 45.6 | 2352.0 | 2383.0 | Guinée | Republic | Lansana Conté | 926.0 | GN |
| 81 | GLP | Guadeloupe | North America | Caribbean | 1705.0 | NaN | 456000 | 77.0 | 3501.0 | NaN | Guadeloupe | Overseas Department of France | Jacques Chirac | 919.0 | GP |
| 82 | GMB | Gambia | Africa | Western Africa | 11295.0 | 1965.0 | 1305000 | 53.2 | 320.0 | 325.0 | The Gambia | Republic | Yahya Jammeh | 904.0 | GM |
| 83 | GNB | Guinea-Bissau | Africa | Western Africa | 36125.0 | 1974.0 | 1213000 | 49.0 | 293.0 | 272.0 | Guiné-Bissau | Republic | Kumba Ialá | 927.0 | GW |
| 84 | GNQ | Equatorial Guinea | Africa | Central Africa | 28051.0 | 1968.0 | 453000 | 53.6 | 283.0 | 542.0 | Guinea Ecuatorial | Republic | Teodoro Obiang Nguema Mbasogo | 2972.0 | GQ |
| 85 | GRC | Greece | Europe | Southern Europe | 131626.0 | 1830.0 | 10545700 | 78.4 | 120724.0 | 119946.0 | Elláda | Republic | Kostis Stefanopoulos | 2401.0 | GR |
| 86 | GRD | Grenada | North America | Caribbean | 344.0 | 1974.0 | 94000 | 64.5 | 318.0 | NaN | Grenada | Constitutional Monarchy | Elisabeth II | 916.0 | GD |
| 87 | GRL | Greenland | North America | North America | 2166090.0 | NaN | 56000 | 68.1 | 0.0 | NaN | Kalaallit Nunaat/Grønland | Part of Denmark | Margrethe II | 917.0 | GL |
| 88 | GTM | Guatemala | North America | Central America | 108889.0 | 1821.0 | 11385000 | 66.2 | 19008.0 | 17797.0 | Guatemala | Republic | Alfonso Portillo Cabrera | 922.0 | GT |
| 89 | GUF | French Guiana | South America | South America | 90000.0 | NaN | 181000 | 76.1 | 681.0 | NaN | Guyane française | Overseas Department of France | Jacques Chirac | 3014.0 | GF |
| 90 | GUM | Guam | Oceania | Micronesia | 549.0 | NaN | 168000 | 77.8 | 1197.0 | 1136.0 | Guam | US Territory | George W. Bush | 921.0 | GU |
| 91 | GUY | Guyana | South America | South America | 214969.0 | 1966.0 | 861000 | 64.0 | 722.0 | 743.0 | Guyana | Republic | Bharrat Jagdeo | 928.0 | GY |
| 92 | HKG | Hong Kong | Asia | Eastern Asia | 1075.0 | NaN | 6782000 | 79.5 | 166448.0 | 173610.0 | Xianggang/Hong Kong | Special Administrative Region of China | Jiang Zemin | 937.0 | HK |
| 93 | HMD | Heard Island and McDonald Islands | Antarctica | Antarctica | 359.0 | NaN | 0 | NaN | 0.0 | NaN | Heard and McDonald Islands | Territory of Australia | Elisabeth II | NaN | HM |
| 94 | HND | Honduras | North America | Central America | 112088.0 | 1838.0 | 6485000 | 69.9 | 5333.0 | 4697.0 | Honduras | Republic | Carlos Roberto Flores Facussé | 933.0 | HN |
| 95 | HRV | Croatia | Europe | Southern Europe | 56538.0 | 1991.0 | 4473000 | 73.7 | 20208.0 | 19300.0 | Hrvatska | Republic | Štipe Mesic | 2409.0 | HR |
| 96 | HTI | Haiti | North America | Caribbean | 27750.0 | 1804.0 | 8222000 | 49.2 | 3459.0 | 3107.0 | Haïti/Dayti | Republic | Jean-Bertrand Aristide | 929.0 | HT |
| 97 | HUN | Hungary | Europe | Eastern Europe | 93030.0 | 1918.0 | 10043200 | 71.4 | 48267.0 | 45914.0 | Magyarország | Republic | Ferenc Mádl | 3483.0 | HU |
| 98 | IDN | Indonesia | Asia | Southeast Asia | 1904569.0 | 1945.0 | 212107000 | 68.0 | 84982.0 | 215002.0 | Indonesia | Republic | Abdurrahman Wahid | 939.0 | ID |
| 99 | IND | India | Asia | Southern and Central Asia | 3287263.0 | 1947.0 | 1013662000 | 62.5 | 447114.0 | 430572.0 | Bharat/India | Federal Republic | Kocheril Raman Narayanan | 1109.0 | IN |
| 100 | IOT | British Indian Ocean Territory | Africa | Eastern Africa | 78.0 | NaN | 0 | NaN | 0.0 | NaN | British Indian Ocean Territory | Dependent Territory of the UK | Elisabeth II | NaN | IO |
| 101 | IRL | Ireland | Europe | British Islands | 70273.0 | 1921.0 | 3775100 | 76.8 | 75921.0 | 73132.0 | Ireland/Éire | Republic | Mary McAleese | 1447.0 | IE |
| 102 | IRN | Iran | Asia | Southern and Central Asia | 1648195.0 | 1906.0 | 67702000 | 69.7 | 195746.0 | 160151.0 | Iran | Islamic Republic | Ali Mohammad Khatami-Ardakani | 1380.0 | IR |
| 103 | IRQ | Iraq | Asia | Middle East | 438317.0 | 1932.0 | 23115000 | 66.5 | 11500.0 | NaN | Al-´Iraq | Republic | Saddam Hussein al-Takriti | 1365.0 | IQ |
| 104 | ISL | Iceland | Europe | Nordic Countries | 103000.0 | 1944.0 | 279000 | 79.4 | 8255.0 | 7474.0 | Ísland | Republic | Ólafur Ragnar Grímsson | 1449.0 | IS |
| 105 | ISR | Israel | Asia | Middle East | 21056.0 | 1948.0 | 6217000 | 78.6 | 97477.0 | 98577.0 | Yisra’el/Isra’il | Republic | Moshe Katzav | 1450.0 | IL |
| 106 | ITA | Italy | Europe | Southern Europe | 301316.0 | 1861.0 | 57680000 | 79.0 | 1161755.0 | 1145372.0 | Italia | Republic | Carlo Azeglio Ciampi | 1464.0 | IT |
| 107 | JAM | Jamaica | North America | Caribbean | 10990.0 | 1962.0 | 2583000 | 75.2 | 6871.0 | 6722.0 | Jamaica | Constitutional Monarchy | Elisabeth II | 1530.0 | JM |
| 108 | JOR | Jordan | Asia | Middle East | 88946.0 | 1946.0 | 5083000 | 77.4 | 7526.0 | 7051.0 | Al-Urdunn | Constitutional Monarchy | Abdullah II | 1786.0 | JO |
| 109 | JPN | Japan | Asia | Eastern Asia | 377829.0 | -660.0 | 126714000 | 80.7 | 3787042.0 | 4192638.0 | Nihon/Nippon | Constitutional Monarchy | Akihito | 1532.0 | JP |
| 110 | KAZ | Kazakstan | Asia | Southern and Central Asia | 2724900.0 | 1991.0 | 16223000 | 63.2 | 24375.0 | 23383.0 | Qazaqstan | Republic | Nursultan Nazarbajev | 1864.0 | KZ |
| 111 | KEN | Kenya | Africa | Eastern Africa | 580367.0 | 1963.0 | 30080000 | 48.0 | 9217.0 | 10241.0 | Kenya | Republic | Daniel arap Moi | 1881.0 | KE |
| 112 | KGZ | Kyrgyzstan | Asia | Southern and Central Asia | 199900.0 | 1991.0 | 4699000 | 63.4 | 1626.0 | 1767.0 | Kyrgyzstan | Republic | Askar Akajev | 2253.0 | KG |
| 113 | KHM | Cambodia | Asia | Southeast Asia | 181035.0 | 1953.0 | 11168000 | 56.5 | 5121.0 | 5670.0 | Kâmpuchéa | Constitutional Monarchy | Norodom Sihanouk | 1800.0 | KH |
| 114 | KIR | Kiribati | Oceania | Micronesia | 726.0 | 1979.0 | 83000 | 59.8 | 40.7 | NaN | Kiribati | Republic | Teburoro Tito | 2256.0 | KI |
| 115 | KNA | Saint Kitts and Nevis | North America | Caribbean | 261.0 | 1983.0 | 38000 | 70.7 | 299.0 | NaN | Saint Kitts and Nevis | Constitutional Monarchy | Elisabeth II | 3064.0 | KN |
| 116 | KOR | South Korea | Asia | Eastern Asia | 99434.0 | 1948.0 | 46844000 | 74.4 | 320749.0 | 442544.0 | Taehan Min’guk (Namhan) | Republic | Kim Dae-jung | 2331.0 | KR |
| 117 | KWT | Kuwait | Asia | Middle East | 17818.0 | 1961.0 | 1972000 | 76.1 | 27037.0 | 30373.0 | Al-Kuwayt | Constitutional Monarchy (Emirate) | Jabir al-Ahmad al-Jabir al-Sabah | 2429.0 | KW |
| 118 | LAO | Laos | Asia | Southeast Asia | 236800.0 | 1953.0 | 5433000 | 53.1 | 1292.0 | 1746.0 | Lao | Republic | Khamtay Siphandone | 2432.0 | LA |
| 119 | LBN | Lebanon | Asia | Middle East | 10400.0 | 1941.0 | 3282000 | 71.3 | 17121.0 | 15129.0 | Lubnan | Republic | Émile Lahoud | 2438.0 | LB |
| 120 | LBR | Liberia | Africa | Western Africa | 111369.0 | 1847.0 | 3154000 | 51.0 | 2012.0 | NaN | Liberia | Republic | Charles Taylor | 2440.0 | LR |
| 121 | LBY | Libyan Arab Jamahiriya | Africa | Northern Africa | 1759540.0 | 1951.0 | 5605000 | 75.5 | 44806.0 | 40562.0 | Libiya | Socialistic State | Muammar al-Qadhafi | 2441.0 | LY |
| 122 | LCA | Saint Lucia | North America | Caribbean | 622.0 | 1979.0 | 154000 | 72.3 | 571.0 | NaN | Saint Lucia | Constitutional Monarchy | Elisabeth II | 3065.0 | LC |
| 123 | LIE | Liechtenstein | Europe | Western Europe | 160.0 | 1806.0 | 32300 | 78.8 | 1119.0 | 1084.0 | Liechtenstein | Constitutional Monarchy | Hans-Adam II | 2446.0 | LI |
| 124 | LKA | Sri Lanka | Asia | Southern and Central Asia | 65610.0 | 1948.0 | 18827000 | 71.8 | 15706.0 | 15091.0 | Sri Lanka/Ilankai | Republic | Chandrika Kumaratunga | 3217.0 | LK |
| 125 | LSO | Lesotho | Africa | Southern Africa | 30355.0 | 1966.0 | 2153000 | 50.8 | 1061.0 | 1161.0 | Lesotho | Constitutional Monarchy | Letsie III | 2437.0 | LS |
| 126 | LTU | Lithuania | Europe | Baltic Countries | 65301.0 | 1991.0 | 3698500 | 69.1 | 10692.0 | 9585.0 | Lietuva | Republic | Valdas Adamkus | 2447.0 | LT |
| 127 | LUX | Luxembourg | Europe | Western Europe | 2586.0 | 1867.0 | 435700 | 77.1 | 16321.0 | 15519.0 | Luxembourg/Lëtzebuerg | Constitutional Monarchy | Henri | 2452.0 | LU |
| 128 | LVA | Latvia | Europe | Baltic Countries | 64589.0 | 1991.0 | 2424200 | 68.4 | 6398.0 | 5639.0 | Latvija | Republic | Vaira Vike-Freiberga | 2434.0 | LV |
| 129 | MAC | Macao | Asia | Eastern Asia | 18.0 | NaN | 473000 | 81.6 | 5749.0 | 5940.0 | Macau/Aomen | Special Administrative Region of China | Jiang Zemin | 2454.0 | MO |
| 130 | MAR | Morocco | Africa | Northern Africa | 446550.0 | 1956.0 | 28351000 | 69.1 | 36124.0 | 33514.0 | Al-Maghrib | Constitutional Monarchy | Mohammed VI | 2486.0 | MA |
| 131 | MCO | Monaco | Europe | Western Europe | 1.5 | 1861.0 | 34000 | 78.8 | 776.0 | NaN | Monaco | Constitutional Monarchy | Rainier III | 2695.0 | MC |
| 132 | MDA | Moldova | Europe | Eastern Europe | 33851.0 | 1991.0 | 4380000 | 64.5 | 1579.0 | 1872.0 | Moldova | Republic | Vladimir Voronin | 2690.0 | MD |
| 133 | MDG | Madagascar | Africa | Eastern Africa | 587041.0 | 1960.0 | 15942000 | 55.0 | 3750.0 | 3545.0 | Madagasikara/Madagascar | Federal Republic | Didier Ratsiraka | 2455.0 | MG |
| 134 | MDV | Maldives | Asia | Southern and Central Asia | 298.0 | 1965.0 | 286000 | 62.2 | 199.0 | NaN | Dhivehi Raajje/Maldives | Republic | Maumoon Abdul Gayoom | 2463.0 | MV |
| 135 | MEX | Mexico | North America | Central America | 1958201.0 | 1810.0 | 98881000 | 71.5 | 414972.0 | 401461.0 | México | Federal Republic | Vicente Fox Quesada | 2515.0 | MX |
| 136 | MHL | Marshall Islands | Oceania | Micronesia | 181.0 | 1990.0 | 64000 | 65.5 | 97.0 | NaN | Marshall Islands/Majol | Republic | Kessai Note | 2507.0 | MH |
| 137 | MKD | Macedonia | Europe | Southern Europe | 25713.0 | 1991.0 | 2024000 | 73.8 | 1694.0 | 1915.0 | Makedonija | Republic | Boris Trajkovski | 2460.0 | MK |
| 138 | MLI | Mali | Africa | Western Africa | 1240192.0 | 1960.0 | 11234000 | 46.7 | 2642.0 | 2453.0 | Mali | Republic | Alpha Oumar Konaré | 2482.0 | ML |
| 139 | MLT | Malta | Europe | Southern Europe | 316.0 | 1964.0 | 380200 | 77.9 | 3512.0 | 3338.0 | Malta | Republic | Guido de Marco | 2484.0 | MT |
| 140 | MMR | Myanmar | Asia | Southeast Asia | 676578.0 | 1948.0 | 45611000 | 54.9 | 180375.0 | 171028.0 | Myanma Pye | Republic | kenraali Than Shwe | 2710.0 | MM |
| 141 | MNG | Mongolia | Asia | Eastern Asia | 1566500.0 | 1921.0 | 2662000 | 67.3 | 1043.0 | 933.0 | Mongol Uls | Republic | Natsagiin Bagabandi | 2696.0 | MN |
| 142 | MNP | Northern Mariana Islands | Oceania | Micronesia | 464.0 | NaN | 78000 | 75.5 | 0.0 | NaN | Northern Mariana Islands | Commonwealth of the US | George W. Bush | 2913.0 | MP |
| 143 | MOZ | Mozambique | Africa | Eastern Africa | 801590.0 | 1975.0 | 19680000 | 37.5 | 2891.0 | 2711.0 | Moçambique | Republic | Joaquím A. Chissano | 2698.0 | MZ |
| 144 | MRT | Mauritania | Africa | Western Africa | 1025520.0 | 1960.0 | 2670000 | 50.8 | 998.0 | 1081.0 | Muritaniya/Mauritanie | Republic | Maaouiya Ould Sid´Ahmad Taya | 2509.0 | MR |
| 145 | MSR | Montserrat | North America | Caribbean | 102.0 | NaN | 11000 | 78.0 | 109.0 | NaN | Montserrat | Dependent Territory of the UK | Elisabeth II | 2697.0 | MS |
| 146 | MTQ | Martinique | North America | Caribbean | 1102.0 | NaN | 395000 | 78.3 | 2731.0 | 2559.0 | Martinique | Overseas Department of France | Jacques Chirac | 2508.0 | MQ |
| 147 | MUS | Mauritius | Africa | Eastern Africa | 2040.0 | 1968.0 | 1158000 | 71.0 | 4251.0 | 4186.0 | Mauritius | Republic | Cassam Uteem | 2511.0 | MU |
| 148 | MWI | Malawi | Africa | Eastern Africa | 118484.0 | 1964.0 | 10925000 | 37.6 | 1687.0 | 2527.0 | Malawi | Republic | Bakili Muluzi | 2462.0 | MW |
| 149 | MYS | Malaysia | Asia | Southeast Asia | 329758.0 | 1957.0 | 22244000 | 70.8 | 69213.0 | 97884.0 | Malaysia | Constitutional Monarchy, Federation | Salahuddin Abdul Aziz Shah Alhaj | 2464.0 | MY |
| 150 | MYT | Mayotte | Africa | Eastern Africa | 373.0 | NaN | 149000 | 59.5 | 0.0 | NaN | Mayotte | Territorial Collectivity of France | Jacques Chirac | 2514.0 | YT |
| 151 | NAM | Namibia | Africa | Southern Africa | 824292.0 | 1990.0 | 1726000 | 42.5 | 3101.0 | 3384.0 | Namibia | Republic | Sam Nujoma | 2726.0 | NA |
| 152 | NCL | New Caledonia | Oceania | Melanesia | 18575.0 | NaN | 214000 | 72.8 | 3563.0 | NaN | Nouvelle-Calédonie | Nonmetropolitan Territory of France | Jacques Chirac | 3493.0 | NC |
| 153 | NER | Niger | Africa | Western Africa | 1267000.0 | 1960.0 | 10730000 | 41.3 | 1706.0 | 1580.0 | Niger | Republic | Mamadou Tandja | 2738.0 | NE |
| 154 | NFK | Norfolk Island | Oceania | Australia and New Zealand | 36.0 | NaN | 2000 | NaN | 0.0 | NaN | Norfolk Island | Territory of Australia | Elisabeth II | 2806.0 | NF |
| 155 | NGA | Nigeria | Africa | Western Africa | 923768.0 | 1960.0 | 111506000 | 51.6 | 65707.0 | 58623.0 | Nigeria | Federal Republic | Olusegun Obasanjo | 2754.0 | NG |
| 156 | NIC | Nicaragua | North America | Central America | 130000.0 | 1838.0 | 5074000 | 68.7 | 1988.0 | 2023.0 | Nicaragua | Republic | Arnoldo Alemán Lacayo | 2734.0 | NI |
| 157 | NIU | Niue | Oceania | Polynesia | 260.0 | NaN | 2000 | NaN | 0.0 | NaN | Niue | Nonmetropolitan Territory of New Zealand | Elisabeth II | 2805.0 | NU |
| 158 | NLD | Netherlands | Europe | Western Europe | 41526.0 | 1581.0 | 15864000 | 78.3 | 371362.0 | 360478.0 | Nederland | Constitutional Monarchy | Beatrix | 5.0 | NL |
| 159 | NOR | Norway | Europe | Nordic Countries | 323877.0 | 1905.0 | 4478500 | 78.7 | 145895.0 | 153370.0 | Norge | Constitutional Monarchy | Harald V | 2807.0 | NO |
| 160 | NPL | Nepal | Asia | Southern and Central Asia | 147181.0 | 1769.0 | 23930000 | 57.8 | 4768.0 | 4837.0 | Nepal | Constitutional Monarchy | Gyanendra Bir Bikram | 2729.0 | NP |
| 161 | NRU | Nauru | Oceania | Micronesia | 21.0 | 1968.0 | 12000 | 60.8 | 197.0 | NaN | Naoero/Nauru | Republic | Bernard Dowiyogo | 2728.0 | NR |
| 162 | NZL | New Zealand | Oceania | Australia and New Zealand | 270534.0 | 1907.0 | 3862000 | 77.8 | 54669.0 | 64960.0 | New Zealand/Aotearoa | Constitutional Monarchy | Elisabeth II | 3499.0 | NZ |
| 163 | OMN | Oman | Asia | Middle East | 309500.0 | 1951.0 | 2542000 | 71.8 | 16904.0 | 16153.0 | ´Uman | Monarchy (Sultanate) | Qabus ibn Sa´id | 2821.0 | OM |
| 164 | PAK | Pakistan | Asia | Southern and Central Asia | 796095.0 | 1947.0 | 156483000 | 61.1 | 61289.0 | 58549.0 | Pakistan | Republic | Mohammad Rafiq Tarar | 2831.0 | PK |
| 165 | PAN | Panama | North America | Central America | 75517.0 | 1903.0 | 2856000 | 75.5 | 9131.0 | 8700.0 | Panamá | Republic | Mireya Elisa Moscoso Rodríguez | 2882.0 | PA |
| 166 | PCN | Pitcairn | Oceania | Polynesia | 49.0 | NaN | 50 | NaN | 0.0 | NaN | Pitcairn | Dependent Territory of the UK | Elisabeth II | 2912.0 | PN |
| 167 | PER | Peru | South America | South America | 1285216.0 | 1821.0 | 25662000 | 70.0 | 64140.0 | 65186.0 | Perú/Piruw | Republic | Valentin Paniagua Corazao | 2890.0 | PE |
| 168 | PHL | Philippines | Asia | Southeast Asia | 300000.0 | 1946.0 | 75967000 | 67.5 | 65107.0 | 82239.0 | Pilipinas | Republic | Gloria Macapagal-Arroyo | 766.0 | PH |
| 169 | PLW | Palau | Oceania | Micronesia | 459.0 | 1994.0 | 19000 | 68.6 | 105.0 | NaN | Belau/Palau | Republic | Kuniwo Nakamura | 2881.0 | PW |
| 170 | PNG | Papua New Guinea | Oceania | Melanesia | 462840.0 | 1975.0 | 4807000 | 63.1 | 4988.0 | 6328.0 | Papua New Guinea/Papua Niugini | Constitutional Monarchy | Elisabeth II | 2884.0 | PG |
| 171 | POL | Poland | Europe | Eastern Europe | 323250.0 | 1918.0 | 38653600 | 73.2 | 151697.0 | 135636.0 | Polska | Republic | Aleksander Kwasniewski | 2928.0 | PL |
| 172 | PRI | Puerto Rico | North America | Caribbean | 8875.0 | NaN | 3869000 | 75.6 | 34100.0 | 32100.0 | Puerto Rico | Commonwealth of the US | George W. Bush | 2919.0 | PR |
| 173 | PRK | North Korea | Asia | Eastern Asia | 120538.0 | 1948.0 | 24039000 | 70.7 | 5332.0 | NaN | Choson Minjujuui In´min Konghwaguk (Bukhan) | Socialistic Republic | Kim Jong-il | 2318.0 | KP |
| 174 | PRT | Portugal | Europe | Southern Europe | 91982.0 | 1143.0 | 9997600 | 75.8 | 105954.0 | 102133.0 | Portugal | Republic | Jorge Sampãio | 2914.0 | PT |
| 175 | PRY | Paraguay | South America | South America | 406752.0 | 1811.0 | 5496000 | 73.7 | 8444.0 | 9555.0 | Paraguay | Republic | Luis Ángel González Macchi | 2885.0 | PY |
| 176 | PSE | Palestine | Asia | Middle East | 6257.0 | NaN | 3101000 | 71.4 | 4173.0 | NaN | Filastin | Autonomous Area | Yasser (Yasir) Arafat | 4074.0 | PS |
| 177 | PYF | French Polynesia | Oceania | Polynesia | 4000.0 | NaN | 235000 | 74.8 | 818.0 | 781.0 | Polynésie française | Nonmetropolitan Territory of France | Jacques Chirac | 3016.0 | PF |
| 178 | QAT | Qatar | Asia | Middle East | 11000.0 | 1971.0 | 599000 | 72.4 | 9472.0 | 8920.0 | Qatar | Monarchy | Hamad ibn Khalifa al-Thani | 2973.0 | QA |
| 179 | REU | Réunion | Africa | Eastern Africa | 2510.0 | NaN | 699000 | 72.7 | 8287.0 | 7988.0 | Réunion | Overseas Department of France | Jacques Chirac | 3017.0 | RE |
| 180 | ROM | Romania | Europe | Eastern Europe | 238391.0 | 1878.0 | 22455500 | 69.9 | 38158.0 | 34843.0 | România | Republic | Ion Iliescu | 3018.0 | RO |
| 181 | RUS | Russian Federation | Europe | Eastern Europe | 17075400.0 | 1991.0 | 146934000 | 67.2 | 276608.0 | 442989.0 | Rossija | Federal Republic | Vladimir Putin | 3580.0 | RU |
| 182 | RWA | Rwanda | Africa | Eastern Africa | 26338.0 | 1962.0 | 7733000 | 39.3 | 2036.0 | 1863.0 | Rwanda/Urwanda | Republic | Paul Kagame | 3047.0 | RW |
| 183 | SAU | Saudi Arabia | Asia | Middle East | 2149690.0 | 1932.0 | 21607000 | 67.8 | 137635.0 | 146171.0 | Al-´Arabiya as-Sa´udiya | Monarchy | Fahd ibn Abdul-Aziz al-Sa´ud | 3173.0 | SA |
| 184 | SDN | Sudan | Africa | Northern Africa | 2505813.0 | 1956.0 | 29490000 | 56.6 | 10162.0 | NaN | As-Sudan | Islamic Republic | Omar Hassan Ahmad al-Bashir | 3225.0 | SD |
| 185 | SEN | Senegal | Africa | Western Africa | 196722.0 | 1960.0 | 9481000 | 62.2 | 4787.0 | 4542.0 | Sénégal/Sounougal | Republic | Abdoulaye Wade | 3198.0 | SN |
| 186 | SGP | Singapore | Asia | Southeast Asia | 618.0 | 1965.0 | 3567000 | 80.1 | 86503.0 | 96318.0 | Singapore/Singapura/Xinjiapo/Singapur | Republic | Sellapan Rama Nathan | 3208.0 | SG |
| 187 | SGS | South Georgia and the South Sandwich Islands | Antarctica | Antarctica | 3903.0 | NaN | 0 | NaN | 0.0 | NaN | South Georgia and the South Sandwich Islands | Dependent Territory of the UK | Elisabeth II | NaN | GS |
| 188 | SHN | Saint Helena | Africa | Western Africa | 314.0 | NaN | 6000 | 76.8 | 0.0 | NaN | Saint Helena | Dependent Territory of the UK | Elisabeth II | 3063.0 | SH |
| 189 | SJM | Svalbard and Jan Mayen | Europe | Nordic Countries | 62422.0 | NaN | 3200 | NaN | 0.0 | NaN | Svalbard og Jan Mayen | Dependent Territory of Norway | Harald V | 938.0 | SJ |
| 190 | SLB | Solomon Islands | Oceania | Melanesia | 28896.0 | 1978.0 | 444000 | 71.3 | 182.0 | 220.0 | Solomon Islands | Constitutional Monarchy | Elisabeth II | 3161.0 | SB |
| 191 | SLE | Sierra Leone | Africa | Western Africa | 71740.0 | 1961.0 | 4854000 | 45.3 | 746.0 | 858.0 | Sierra Leone | Republic | Ahmed Tejan Kabbah | 3207.0 | SL |
| 192 | SLV | El Salvador | North America | Central America | 21041.0 | 1841.0 | 6276000 | 69.7 | 11863.0 | 11203.0 | El Salvador | Republic | Francisco Guillermo Flores Pérez | 645.0 | SV |
| 193 | SMR | San Marino | Europe | Southern Europe | 61.0 | 885.0 | 27000 | 81.1 | 510.0 | NaN | San Marino | Republic | None | 3171.0 | SM |
| 194 | SOM | Somalia | Africa | Eastern Africa | 637657.0 | 1960.0 | 10097000 | 46.2 | 935.0 | NaN | Soomaaliya | Republic | Abdiqassim Salad Hassan | 3214.0 | SO |
| 195 | SPM | Saint Pierre and Miquelon | North America | North America | 242.0 | NaN | 7000 | 77.6 | 0.0 | NaN | Saint-Pierre-et-Miquelon | Territorial Collectivity of France | Jacques Chirac | 3067.0 | PM |
| 196 | STP | Sao Tome and Principe | Africa | Central Africa | 964.0 | 1975.0 | 147000 | 65.3 | 6.0 | NaN | São Tomé e Príncipe | Republic | Miguel Trovoada | 3172.0 | ST |
| 197 | SUR | Suriname | South America | South America | 163265.0 | 1975.0 | 417000 | 71.4 | 870.0 | 706.0 | Suriname | Republic | Ronald Venetiaan | 3243.0 | SR |
| 198 | SVK | Slovakia | Europe | Eastern Europe | 49012.0 | 1993.0 | 5398700 | 73.7 | 20594.0 | 19452.0 | Slovensko | Republic | Rudolf Schuster | 3209.0 | SK |
| 199 | SVN | Slovenia | Europe | Southern Europe | 20256.0 | 1991.0 | 1987800 | 74.9 | 19756.0 | 18202.0 | Slovenija | Republic | Milan Kucan | 3212.0 | SI |
| 200 | SWE | Sweden | Europe | Nordic Countries | 449964.0 | 836.0 | 8861400 | 79.6 | 226492.0 | 227757.0 | Sverige | Constitutional Monarchy | Carl XVI Gustaf | 3048.0 | SE |
| 201 | SWZ | Swaziland | Africa | Southern Africa | 17364.0 | 1968.0 | 1008000 | 40.4 | 1206.0 | 1312.0 | kaNgwane | Monarchy | Mswati III | 3244.0 | SZ |
| 202 | SYC | Seychelles | Africa | Eastern Africa | 455.0 | 1976.0 | 77000 | 70.4 | 536.0 | 539.0 | Sesel/Seychelles | Republic | France-Albert René | 3206.0 | SC |
| 203 | SYR | Syria | Asia | Middle East | 185180.0 | 1941.0 | 16125000 | 68.5 | 65984.0 | 64926.0 | Suriya | Republic | Bashar al-Assad | 3250.0 | SY |
| 204 | TCA | Turks and Caicos Islands | North America | Caribbean | 430.0 | NaN | 17000 | 73.3 | 96.0 | NaN | The Turks and Caicos Islands | Dependent Territory of the UK | Elisabeth II | 3423.0 | TC |
| 205 | TCD | Chad | Africa | Central Africa | 1284000.0 | 1960.0 | 7651000 | 50.5 | 1208.0 | 1102.0 | Tchad/Tshad | Republic | Idriss Déby | 3337.0 | TD |
| 206 | TGO | Togo | Africa | Western Africa | 56785.0 | 1960.0 | 4629000 | 54.7 | 1449.0 | 1400.0 | Togo | Republic | Gnassingbé Eyadéma | 3332.0 | TG |
| 207 | THA | Thailand | Asia | Southeast Asia | 513115.0 | 1350.0 | 61399000 | 68.6 | 116416.0 | 153907.0 | Prathet Thai | Constitutional Monarchy | Bhumibol Adulyadej | 3320.0 | TH |
| 208 | TJK | Tajikistan | Asia | Southern and Central Asia | 143100.0 | 1991.0 | 6188000 | 64.1 | 1990.0 | 1056.0 | Toçikiston | Republic | Emomali Rahmonov | 3261.0 | TJ |
| 209 | TKL | Tokelau | Oceania | Polynesia | 12.0 | NaN | 2000 | NaN | 0.0 | NaN | Tokelau | Nonmetropolitan Territory of New Zealand | Elisabeth II | 3333.0 | TK |
| 210 | TKM | Turkmenistan | Asia | Southern and Central Asia | 488100.0 | 1991.0 | 4459000 | 60.9 | 4397.0 | 2000.0 | Türkmenostan | Republic | Saparmurad Nijazov | 3419.0 | TM |
| 211 | TMP | East Timor | Asia | Southeast Asia | 14874.0 | NaN | 885000 | 46.0 | 0.0 | NaN | Timor Timur | Administrated by the UN | José Alexandre Gusmão | 1522.0 | TP |
| 212 | TON | Tonga | Oceania | Polynesia | 650.0 | 1970.0 | 99000 | 67.9 | 146.0 | 170.0 | Tonga | Monarchy | Taufa'ahau Tupou IV | 3334.0 | TO |
| 213 | TTO | Trinidad and Tobago | North America | Caribbean | 5130.0 | 1962.0 | 1295000 | 68.0 | 6232.0 | 5867.0 | Trinidad and Tobago | Republic | Arthur N. R. Robinson | 3336.0 | TT |
| 214 | TUN | Tunisia | Africa | Northern Africa | 163610.0 | 1956.0 | 9586000 | 73.7 | 20026.0 | 18898.0 | Tunis/Tunisie | Republic | Zine al-Abidine Ben Ali | 3349.0 | TN |
| 215 | TUR | Turkey | Asia | Middle East | 774815.0 | 1923.0 | 66591000 | 71.0 | 210721.0 | 189122.0 | Türkiye | Republic | Ahmet Necdet Sezer | 3358.0 | TR |
| 216 | TUV | Tuvalu | Oceania | Polynesia | 26.0 | 1978.0 | 12000 | 66.3 | 6.0 | NaN | Tuvalu | Constitutional Monarchy | Elisabeth II | 3424.0 | TV |
| 217 | TWN | Taiwan | Asia | Eastern Asia | 36188.0 | 1945.0 | 22256000 | 76.4 | 256254.0 | 263451.0 | T’ai-wan | Republic | Chen Shui-bian | 3263.0 | TW |
| 218 | TZA | Tanzania | Africa | Eastern Africa | 883749.0 | 1961.0 | 33517000 | 52.3 | 8005.0 | 7388.0 | Tanzania | Republic | Benjamin William Mkapa | 3306.0 | TZ |
| 219 | UGA | Uganda | Africa | Eastern Africa | 241038.0 | 1962.0 | 21778000 | 42.9 | 6313.0 | 6887.0 | Uganda | Republic | Yoweri Museveni | 3425.0 | UG |
| 220 | UKR | Ukraine | Europe | Eastern Europe | 603700.0 | 1991.0 | 50456000 | 66.0 | 42168.0 | 49677.0 | Ukrajina | Republic | Leonid Kutšma | 3426.0 | UA |
| 221 | UMI | United States Minor Outlying Islands | Oceania | Micronesia/Caribbean | 16.0 | NaN | 0 | NaN | 0.0 | NaN | United States Minor Outlying Islands | Dependent Territory of the US | George W. Bush | NaN | UM |
| 222 | URY | Uruguay | South America | South America | 175016.0 | 1828.0 | 3337000 | 75.2 | 20831.0 | 19967.0 | Uruguay | Republic | Jorge Batlle Ibáñez | 3492.0 | UY |
| 223 | USA | United States | North America | North America | 9363520.0 | 1776.0 | 278357000 | 77.1 | 8510700.0 | 8110900.0 | United States | Federal Republic | George W. Bush | 3813.0 | US |
| 224 | UZB | Uzbekistan | Asia | Southern and Central Asia | 447400.0 | 1991.0 | 24318000 | 63.7 | 14194.0 | 21300.0 | Uzbekiston | Republic | Islam Karimov | 3503.0 | UZ |
| 225 | VAT | Holy See (Vatican City State) | Europe | Southern Europe | 0.4 | 1929.0 | 1000 | NaN | 9.0 | NaN | Santa Sede/Città del Vaticano | Independent Church State | Johannes Paavali II | 3538.0 | VA |
| 226 | VCT | Saint Vincent and the Grenadines | North America | Caribbean | 388.0 | 1979.0 | 114000 | 72.3 | 285.0 | NaN | Saint Vincent and the Grenadines | Constitutional Monarchy | Elisabeth II | 3066.0 | VC |
| 227 | VEN | Venezuela | South America | South America | 912050.0 | 1811.0 | 24170000 | 73.1 | 95023.0 | 88434.0 | Venezuela | Federal Republic | Hugo Chávez Frías | 3539.0 | VE |
| 228 | VGB | Virgin Islands, British | North America | Caribbean | 151.0 | NaN | 21000 | 75.4 | 612.0 | 573.0 | British Virgin Islands | Dependent Territory of the UK | Elisabeth II | 537.0 | VG |
| 229 | VIR | Virgin Islands, U.S. | North America | Caribbean | 347.0 | NaN | 93000 | 78.1 | 0.0 | NaN | Virgin Islands of the United States | US Territory | George W. Bush | 4067.0 | VI |
| 230 | VNM | Vietnam | Asia | Southeast Asia | 331689.0 | 1945.0 | 79832000 | 69.3 | 21929.0 | 22834.0 | Viêt Nam | Socialistic Republic | Trân Duc Luong | 3770.0 | VN |
| 231 | VUT | Vanuatu | Oceania | Melanesia | 12189.0 | 1980.0 | 190000 | 60.6 | 261.0 | 246.0 | Vanuatu | Republic | John Bani | 3537.0 | VU |
| 232 | WLF | Wallis and Futuna | Oceania | Polynesia | 200.0 | NaN | 15000 | NaN | 0.0 | NaN | Wallis-et-Futuna | Nonmetropolitan Territory of France | Jacques Chirac | 3536.0 | WF |
| 233 | WSM | Samoa | Oceania | Polynesia | 2831.0 | 1962.0 | 180000 | 69.2 | 141.0 | 157.0 | Samoa | Parlementary Monarchy | Malietoa Tanumafili II | 3169.0 | WS |
| 234 | YEM | Yemen | Asia | Middle East | 527968.0 | 1918.0 | 18112000 | 59.8 | 6041.0 | 5729.0 | Al-Yaman | Republic | Ali Abdallah Salih | 1780.0 | YE |
| 235 | YUG | Yugoslavia | Europe | Southern Europe | 102173.0 | 1918.0 | 10640000 | 72.4 | 17000.0 | NaN | Jugoslavija | Federal Republic | Vojislav Koštunica | 1792.0 | YU |
| 236 | ZAF | South Africa | Africa | Southern Africa | 1221037.0 | 1910.0 | 40377000 | 51.1 | 116729.0 | 129092.0 | South Africa | Republic | Thabo Mbeki | 716.0 | ZA |
| 237 | ZMB | Zambia | Africa | Eastern Africa | 752618.0 | 1964.0 | 9169000 | 37.2 | 3377.0 | 3922.0 | Zambia | Republic | Frederick Chiluba | 3162.0 | ZM |
| 238 | ZWE | Zimbabwe | Africa | Eastern Africa | 390757.0 | 1980.0 | 11669000 | 37.8 | 5951.0 | 8670.0 | Zimbabwe | Republic | Robert G. Mugabe | 4068.0 | ZW |
City#
SELECT * FROM city;
| ID | Name | CountryCode | District | Population | |
|---|---|---|---|---|---|
| 0 | 1 | Kabul | AFG | Kabol | 1780000 |
| 1 | 2 | Qandahar | AFG | Qandahar | 237500 |
| 2 | 3 | Herat | AFG | Herat | 186800 |
| 3 | 4 | Mazar-e-Sharif | AFG | Balkh | 127800 |
| 4 | 5 | Amsterdam | NLD | Noord-Holland | 731200 |
| 5 | 6 | Rotterdam | NLD | Zuid-Holland | 593321 |
| 6 | 7 | Haag | NLD | Zuid-Holland | 440900 |
| 7 | 8 | Utrecht | NLD | Utrecht | 234323 |
| 8 | 9 | Eindhoven | NLD | Noord-Brabant | 201843 |
| 9 | 10 | Tilburg | NLD | Noord-Brabant | 193238 |
| 10 | 11 | Groningen | NLD | Groningen | 172701 |
| 11 | 12 | Breda | NLD | Noord-Brabant | 160398 |
| 12 | 13 | Apeldoorn | NLD | Gelderland | 153491 |
| 13 | 14 | Nijmegen | NLD | Gelderland | 152463 |
| 14 | 15 | Enschede | NLD | Overijssel | 149544 |
| 15 | 16 | Haarlem | NLD | Noord-Holland | 148772 |
| 16 | 17 | Almere | NLD | Flevoland | 142465 |
| 17 | 18 | Arnhem | NLD | Gelderland | 138020 |
| 18 | 19 | Zaanstad | NLD | Noord-Holland | 135621 |
| 19 | 20 | ´s-Hertogenbosch | NLD | Noord-Brabant | 129170 |
| 20 | 21 | Amersfoort | NLD | Utrecht | 126270 |
| 21 | 22 | Maastricht | NLD | Limburg | 122087 |
| 22 | 23 | Dordrecht | NLD | Zuid-Holland | 119811 |
| 23 | 24 | Leiden | NLD | Zuid-Holland | 117196 |
| 24 | 25 | Haarlemmermeer | NLD | Noord-Holland | 110722 |
| 25 | 26 | Zoetermeer | NLD | Zuid-Holland | 110214 |
| 26 | 27 | Emmen | NLD | Drenthe | 105853 |
| 27 | 28 | Zwolle | NLD | Overijssel | 105819 |
| 28 | 29 | Ede | NLD | Gelderland | 101574 |
| 29 | 30 | Delft | NLD | Zuid-Holland | 95268 |
| 30 | 31 | Heerlen | NLD | Limburg | 95052 |
| 31 | 32 | Alkmaar | NLD | Noord-Holland | 92713 |
| 32 | 33 | Willemstad | ANT | Curaçao | 2345 |
| 33 | 34 | Tirana | ALB | Tirana | 270000 |
| 34 | 35 | Alger | DZA | Alger | 2168000 |
| 35 | 36 | Oran | DZA | Oran | 609823 |
| 36 | 37 | Constantine | DZA | Constantine | 443727 |
| 37 | 38 | Annaba | DZA | Annaba | 222518 |
| 38 | 39 | Batna | DZA | Batna | 183377 |
| 39 | 40 | Sétif | DZA | Sétif | 179055 |
| 40 | 41 | Sidi Bel Abbès | DZA | Sidi Bel Abbès | 153106 |
| 41 | 42 | Skikda | DZA | Skikda | 128747 |
| 42 | 43 | Biskra | DZA | Biskra | 128281 |
| 43 | 44 | Blida (el-Boulaida) | DZA | Blida | 127284 |
| 44 | 45 | Béjaïa | DZA | Béjaïa | 117162 |
| 45 | 46 | Mostaganem | DZA | Mostaganem | 115212 |
| 46 | 47 | Tébessa | DZA | Tébessa | 112007 |
| 47 | 48 | Tlemcen (Tilimsen) | DZA | Tlemcen | 110242 |
| 48 | 49 | Béchar | DZA | Béchar | 107311 |
| 49 | 50 | Tiaret | DZA | Tiaret | 100118 |
| 50 | 51 | Ech-Chleff (el-Asnam) | DZA | Chlef | 96794 |
| 51 | 52 | Ghardaïa | DZA | Ghardaïa | 89415 |
| 52 | 53 | Tafuna | ASM | Tutuila | 5200 |
| 53 | 54 | Fagatogo | ASM | Tutuila | 2323 |
| 54 | 55 | Andorra la Vella | AND | Andorra la Vella | 21189 |
| 55 | 56 | Luanda | AGO | Luanda | 2022000 |
| 56 | 57 | Huambo | AGO | Huambo | 163100 |
| 57 | 58 | Lobito | AGO | Benguela | 130000 |
| 58 | 59 | Benguela | AGO | Benguela | 128300 |
| 59 | 60 | Namibe | AGO | Namibe | 118200 |
| 60 | 61 | South Hill | AIA | – | 961 |
| 61 | 62 | The Valley | AIA | – | 595 |
| 62 | 63 | Saint John´s | ATG | St John | 24000 |
| 63 | 64 | Dubai | ARE | Dubai | 669181 |
| 64 | 65 | Abu Dhabi | ARE | Abu Dhabi | 398695 |
| 65 | 66 | Sharja | ARE | Sharja | 320095 |
| 66 | 67 | al-Ayn | ARE | Abu Dhabi | 225970 |
| 67 | 68 | Ajman | ARE | Ajman | 114395 |
| 68 | 69 | Buenos Aires | ARG | Distrito Federal | 2982146 |
| 69 | 70 | La Matanza | ARG | Buenos Aires | 1266461 |
| 70 | 71 | Córdoba | ARG | Córdoba | 1157507 |
| 71 | 72 | Rosario | ARG | Santa Fé | 907718 |
| 72 | 73 | Lomas de Zamora | ARG | Buenos Aires | 622013 |
| 73 | 74 | Quilmes | ARG | Buenos Aires | 559249 |
| 74 | 75 | Almirante Brown | ARG | Buenos Aires | 538918 |
| 75 | 76 | La Plata | ARG | Buenos Aires | 521936 |
| 76 | 77 | Mar del Plata | ARG | Buenos Aires | 512880 |
| 77 | 78 | San Miguel de Tucumán | ARG | Tucumán | 470809 |
| 78 | 79 | Lanús | ARG | Buenos Aires | 469735 |
| 79 | 80 | Merlo | ARG | Buenos Aires | 463846 |
| 80 | 81 | General San Martín | ARG | Buenos Aires | 422542 |
| 81 | 82 | Salta | ARG | Salta | 367550 |
| 82 | 83 | Moreno | ARG | Buenos Aires | 356993 |
| 83 | 84 | Santa Fé | ARG | Santa Fé | 353063 |
| 84 | 85 | Avellaneda | ARG | Buenos Aires | 353046 |
| 85 | 86 | Tres de Febrero | ARG | Buenos Aires | 352311 |
| 86 | 87 | Morón | ARG | Buenos Aires | 349246 |
| 87 | 88 | Florencio Varela | ARG | Buenos Aires | 315432 |
| 88 | 89 | San Isidro | ARG | Buenos Aires | 306341 |
| 89 | 90 | Tigre | ARG | Buenos Aires | 296226 |
| 90 | 91 | Malvinas Argentinas | ARG | Buenos Aires | 290335 |
| 91 | 92 | Vicente López | ARG | Buenos Aires | 288341 |
| 92 | 93 | Berazategui | ARG | Buenos Aires | 276916 |
| 93 | 94 | Corrientes | ARG | Corrientes | 258103 |
| 94 | 95 | San Miguel | ARG | Buenos Aires | 248700 |
| 95 | 96 | Bahía Blanca | ARG | Buenos Aires | 239810 |
| 96 | 97 | Esteban Echeverría | ARG | Buenos Aires | 235760 |
| 97 | 98 | Resistencia | ARG | Chaco | 229212 |
| 98 | 99 | José C. Paz | ARG | Buenos Aires | 221754 |
| 99 | 100 | Paraná | ARG | Entre Rios | 207041 |
| 100 | 101 | Godoy Cruz | ARG | Mendoza | 206998 |
| 101 | 102 | Posadas | ARG | Misiones | 201273 |
| 102 | 103 | Guaymallén | ARG | Mendoza | 200595 |
| 103 | 104 | Santiago del Estero | ARG | Santiago del Estero | 189947 |
| 104 | 105 | San Salvador de Jujuy | ARG | Jujuy | 178748 |
| 105 | 106 | Hurlingham | ARG | Buenos Aires | 170028 |
| 106 | 107 | Neuquén | ARG | Neuquén | 167296 |
| 107 | 108 | Ituzaingó | ARG | Buenos Aires | 158197 |
| 108 | 109 | San Fernando | ARG | Buenos Aires | 153036 |
| 109 | 110 | Formosa | ARG | Formosa | 147636 |
| 110 | 111 | Las Heras | ARG | Mendoza | 145823 |
| 111 | 112 | La Rioja | ARG | La Rioja | 138117 |
| 112 | 113 | San Fernando del Valle de Cata | ARG | Catamarca | 134935 |
| 113 | 114 | Río Cuarto | ARG | Córdoba | 134355 |
| 114 | 115 | Comodoro Rivadavia | ARG | Chubut | 124104 |
| 115 | 116 | Mendoza | ARG | Mendoza | 123027 |
| 116 | 117 | San Nicolás de los Arroyos | ARG | Buenos Aires | 119302 |
| 117 | 118 | San Juan | ARG | San Juan | 119152 |
| 118 | 119 | Escobar | ARG | Buenos Aires | 116675 |
| 119 | 120 | Concordia | ARG | Entre Rios | 116485 |
| 120 | 121 | Pilar | ARG | Buenos Aires | 113428 |
| 121 | 122 | San Luis | ARG | San Luis | 110136 |
| 122 | 123 | Ezeiza | ARG | Buenos Aires | 99578 |
| 123 | 124 | San Rafael | ARG | Mendoza | 94651 |
| 124 | 125 | Tandil | ARG | Buenos Aires | 91101 |
| 125 | 126 | Yerevan | ARM | Yerevan | 1248700 |
| 126 | 127 | Gjumri | ARM | Širak | 211700 |
| 127 | 128 | Vanadzor | ARM | Lori | 172700 |
| 128 | 129 | Oranjestad | ABW | – | 29034 |
| 129 | 130 | Sydney | AUS | New South Wales | 3276207 |
| 130 | 131 | Melbourne | AUS | Victoria | 2865329 |
| 131 | 132 | Brisbane | AUS | Queensland | 1291117 |
| 132 | 133 | Perth | AUS | West Australia | 1096829 |
| 133 | 134 | Adelaide | AUS | South Australia | 978100 |
| 134 | 135 | Canberra | AUS | Capital Region | 322723 |
| 135 | 136 | Gold Coast | AUS | Queensland | 311932 |
| 136 | 137 | Newcastle | AUS | New South Wales | 270324 |
| 137 | 138 | Central Coast | AUS | New South Wales | 227657 |
| 138 | 139 | Wollongong | AUS | New South Wales | 219761 |
| 139 | 140 | Hobart | AUS | Tasmania | 126118 |
| 140 | 141 | Geelong | AUS | Victoria | 125382 |
| 141 | 142 | Townsville | AUS | Queensland | 109914 |
| 142 | 143 | Cairns | AUS | Queensland | 92273 |
| 143 | 144 | Bakı | AZE | Bakı | 1787800 |
| 144 | 145 | Gəncə | AZE | Gəncə | 299300 |
| 145 | 146 | Sumqayıt | AZE | Sumqayıt | 283000 |
| 146 | 147 | Mingəçevir | AZE | Mingəçevir | 93900 |
| 147 | 148 | Nassau | BHS | New Providence | 172000 |
| 148 | 149 | al-Manama | BHR | al-Manama | 148000 |
| 149 | 150 | Dhaka | BGD | Dhaka | 3612850 |
| 150 | 151 | Chittagong | BGD | Chittagong | 1392860 |
| 151 | 152 | Khulna | BGD | Khulna | 663340 |
| 152 | 153 | Rajshahi | BGD | Rajshahi | 294056 |
| 153 | 154 | Narayanganj | BGD | Dhaka | 202134 |
| 154 | 155 | Rangpur | BGD | Rajshahi | 191398 |
| 155 | 156 | Mymensingh | BGD | Dhaka | 188713 |
| 156 | 157 | Barisal | BGD | Barisal | 170232 |
| 157 | 158 | Tungi | BGD | Dhaka | 168702 |
| 158 | 159 | Jessore | BGD | Khulna | 139710 |
| 159 | 160 | Comilla | BGD | Chittagong | 135313 |
| 160 | 161 | Nawabganj | BGD | Rajshahi | 130577 |
| 161 | 162 | Dinajpur | BGD | Rajshahi | 127815 |
| 162 | 163 | Bogra | BGD | Rajshahi | 120170 |
| 163 | 164 | Sylhet | BGD | Sylhet | 117396 |
| 164 | 165 | Brahmanbaria | BGD | Chittagong | 109032 |
| 165 | 166 | Tangail | BGD | Dhaka | 106004 |
| 166 | 167 | Jamalpur | BGD | Dhaka | 103556 |
| 167 | 168 | Pabna | BGD | Rajshahi | 103277 |
| 168 | 169 | Naogaon | BGD | Rajshahi | 101266 |
| 169 | 170 | Sirajganj | BGD | Rajshahi | 99669 |
| 170 | 171 | Narsinghdi | BGD | Dhaka | 98342 |
| 171 | 172 | Saidpur | BGD | Rajshahi | 96777 |
| 172 | 173 | Gazipur | BGD | Dhaka | 96717 |
| 173 | 174 | Bridgetown | BRB | St Michael | 6070 |
| 174 | 175 | Antwerpen | BEL | Antwerpen | 446525 |
| 175 | 176 | Gent | BEL | East Flanderi | 224180 |
| 176 | 177 | Charleroi | BEL | Hainaut | 200827 |
| 177 | 178 | Liège | BEL | Liège | 185639 |
| 178 | 179 | Bruxelles [Brussel] | BEL | Bryssel | 133859 |
| 179 | 180 | Brugge | BEL | West Flanderi | 116246 |
| 180 | 181 | Schaerbeek | BEL | Bryssel | 105692 |
| 181 | 182 | Namur | BEL | Namur | 105419 |
| 182 | 183 | Mons | BEL | Hainaut | 90935 |
| 183 | 184 | Belize City | BLZ | Belize City | 55810 |
| 184 | 185 | Belmopan | BLZ | Cayo | 7105 |
| 185 | 186 | Cotonou | BEN | Atlantique | 536827 |
| 186 | 187 | Porto-Novo | BEN | Ouémé | 194000 |
| 187 | 188 | Djougou | BEN | Atacora | 134099 |
| 188 | 189 | Parakou | BEN | Borgou | 103577 |
| 189 | 190 | Saint George | BMU | Saint George´s | 1800 |
| 190 | 191 | Hamilton | BMU | Hamilton | 1200 |
| 191 | 192 | Thimphu | BTN | Thimphu | 22000 |
| 192 | 193 | Santa Cruz de la Sierra | BOL | Santa Cruz | 935361 |
| 193 | 194 | La Paz | BOL | La Paz | 758141 |
| 194 | 195 | El Alto | BOL | La Paz | 534466 |
| 195 | 196 | Cochabamba | BOL | Cochabamba | 482800 |
| 196 | 197 | Oruro | BOL | Oruro | 223553 |
| 197 | 198 | Sucre | BOL | Chuquisaca | 178426 |
| 198 | 199 | Potosí | BOL | Potosí | 140642 |
| 199 | 200 | Tarija | BOL | Tarija | 125255 |
| 200 | 201 | Sarajevo | BIH | Federaatio | 360000 |
| 201 | 202 | Banja Luka | BIH | Republika Srpska | 143079 |
| 202 | 203 | Zenica | BIH | Federaatio | 96027 |
| 203 | 204 | Gaborone | BWA | Gaborone | 213017 |
| 204 | 205 | Francistown | BWA | Francistown | 101805 |
| 205 | 206 | São Paulo | BRA | São Paulo | 9968485 |
| 206 | 207 | Rio de Janeiro | BRA | Rio de Janeiro | 5598953 |
| 207 | 208 | Salvador | BRA | Bahia | 2302832 |
| 208 | 209 | Belo Horizonte | BRA | Minas Gerais | 2139125 |
| 209 | 210 | Fortaleza | BRA | Ceará | 2097757 |
| 210 | 211 | Brasília | BRA | Distrito Federal | 1969868 |
| 211 | 212 | Curitiba | BRA | Paraná | 1584232 |
| 212 | 213 | Recife | BRA | Pernambuco | 1378087 |
| 213 | 214 | Porto Alegre | BRA | Rio Grande do Sul | 1314032 |
| 214 | 215 | Manaus | BRA | Amazonas | 1255049 |
| 215 | 216 | Belém | BRA | Pará | 1186926 |
| 216 | 217 | Guarulhos | BRA | São Paulo | 1095874 |
| 217 | 218 | Goiânia | BRA | Goiás | 1056330 |
| 218 | 219 | Campinas | BRA | São Paulo | 950043 |
| 219 | 220 | São Gonçalo | BRA | Rio de Janeiro | 869254 |
| 220 | 221 | Nova Iguaçu | BRA | Rio de Janeiro | 862225 |
| 221 | 222 | São Luís | BRA | Maranhão | 837588 |
| 222 | 223 | Maceió | BRA | Alagoas | 786288 |
| 223 | 224 | Duque de Caxias | BRA | Rio de Janeiro | 746758 |
| 224 | 225 | São Bernardo do Campo | BRA | São Paulo | 723132 |
| 225 | 226 | Teresina | BRA | Piauí | 691942 |
| 226 | 227 | Natal | BRA | Rio Grande do Norte | 688955 |
| 227 | 228 | Osasco | BRA | São Paulo | 659604 |
| 228 | 229 | Campo Grande | BRA | Mato Grosso do Sul | 649593 |
| 229 | 230 | Santo André | BRA | São Paulo | 630073 |
| 230 | 231 | João Pessoa | BRA | Paraíba | 584029 |
| 231 | 232 | Jaboatão dos Guararapes | BRA | Pernambuco | 558680 |
| 232 | 233 | Contagem | BRA | Minas Gerais | 520801 |
| 233 | 234 | São José dos Campos | BRA | São Paulo | 515553 |
| 234 | 235 | Uberlândia | BRA | Minas Gerais | 487222 |
| 235 | 236 | Feira de Santana | BRA | Bahia | 479992 |
| 236 | 237 | Ribeirão Preto | BRA | São Paulo | 473276 |
| 237 | 238 | Sorocaba | BRA | São Paulo | 466823 |
| 238 | 239 | Niterói | BRA | Rio de Janeiro | 459884 |
| 239 | 240 | Cuiabá | BRA | Mato Grosso | 453813 |
| 240 | 241 | Juiz de Fora | BRA | Minas Gerais | 450288 |
| 241 | 242 | Aracaju | BRA | Sergipe | 445555 |
| 242 | 243 | São João de Meriti | BRA | Rio de Janeiro | 440052 |
| 243 | 244 | Londrina | BRA | Paraná | 432257 |
| 244 | 245 | Joinville | BRA | Santa Catarina | 428011 |
| 245 | 246 | Belford Roxo | BRA | Rio de Janeiro | 425194 |
| 246 | 247 | Santos | BRA | São Paulo | 408748 |
| 247 | 248 | Ananindeua | BRA | Pará | 400940 |
| 248 | 249 | Campos dos Goytacazes | BRA | Rio de Janeiro | 398418 |
| 249 | 250 | Mauá | BRA | São Paulo | 375055 |
| 250 | 251 | Carapicuíba | BRA | São Paulo | 357552 |
| 251 | 252 | Olinda | BRA | Pernambuco | 354732 |
| 252 | 253 | Campina Grande | BRA | Paraíba | 352497 |
| 253 | 254 | São José do Rio Preto | BRA | São Paulo | 351944 |
| 254 | 255 | Caxias do Sul | BRA | Rio Grande do Sul | 349581 |
| 255 | 256 | Moji das Cruzes | BRA | São Paulo | 339194 |
| 256 | 257 | Diadema | BRA | São Paulo | 335078 |
| 257 | 258 | Aparecida de Goiânia | BRA | Goiás | 324662 |
| 258 | 259 | Piracicaba | BRA | São Paulo | 319104 |
| 259 | 260 | Cariacica | BRA | Espírito Santo | 319033 |
| 260 | 261 | Vila Velha | BRA | Espírito Santo | 318758 |
| 261 | 262 | Pelotas | BRA | Rio Grande do Sul | 315415 |
| 262 | 263 | Bauru | BRA | São Paulo | 313670 |
| 263 | 264 | Porto Velho | BRA | Rondônia | 309750 |
| 264 | 265 | Serra | BRA | Espírito Santo | 302666 |
| 265 | 266 | Betim | BRA | Minas Gerais | 302108 |
| 266 | 267 | Jundíaí | BRA | São Paulo | 296127 |
| 267 | 268 | Canoas | BRA | Rio Grande do Sul | 294125 |
| 268 | 269 | Franca | BRA | São Paulo | 290139 |
| 269 | 270 | São Vicente | BRA | São Paulo | 286848 |
| 270 | 271 | Maringá | BRA | Paraná | 286461 |
| 271 | 272 | Montes Claros | BRA | Minas Gerais | 286058 |
| 272 | 273 | Anápolis | BRA | Goiás | 282197 |
| 273 | 274 | Florianópolis | BRA | Santa Catarina | 281928 |
| 274 | 275 | Petrópolis | BRA | Rio de Janeiro | 279183 |
| 275 | 276 | Itaquaquecetuba | BRA | São Paulo | 270874 |
| 276 | 277 | Vitória | BRA | Espírito Santo | 270626 |
| 277 | 278 | Ponta Grossa | BRA | Paraná | 268013 |
| 278 | 279 | Rio Branco | BRA | Acre | 259537 |
| 279 | 280 | Foz do Iguaçu | BRA | Paraná | 259425 |
| 280 | 281 | Macapá | BRA | Amapá | 256033 |
| 281 | 282 | Ilhéus | BRA | Bahia | 254970 |
| 282 | 283 | Vitória da Conquista | BRA | Bahia | 253587 |
| 283 | 284 | Uberaba | BRA | Minas Gerais | 249225 |
| 284 | 285 | Paulista | BRA | Pernambuco | 248473 |
| 285 | 286 | Limeira | BRA | São Paulo | 245497 |
| 286 | 287 | Blumenau | BRA | Santa Catarina | 244379 |
| 287 | 288 | Caruaru | BRA | Pernambuco | 244247 |
| 288 | 289 | Santarém | BRA | Pará | 241771 |
| 289 | 290 | Volta Redonda | BRA | Rio de Janeiro | 240315 |
| 290 | 291 | Novo Hamburgo | BRA | Rio Grande do Sul | 239940 |
| 291 | 292 | Caucaia | BRA | Ceará | 238738 |
| 292 | 293 | Santa Maria | BRA | Rio Grande do Sul | 238473 |
| 293 | 294 | Cascavel | BRA | Paraná | 237510 |
| 294 | 295 | Guarujá | BRA | São Paulo | 237206 |
| 295 | 296 | Ribeirão das Neves | BRA | Minas Gerais | 232685 |
| 296 | 297 | Governador Valadares | BRA | Minas Gerais | 231724 |
| 297 | 298 | Taubaté | BRA | São Paulo | 229130 |
| 298 | 299 | Imperatriz | BRA | Maranhão | 224564 |
| 299 | 300 | Gravataí | BRA | Rio Grande do Sul | 223011 |
| 300 | 301 | Embu | BRA | São Paulo | 222223 |
| 301 | 302 | Mossoró | BRA | Rio Grande do Norte | 214901 |
| 302 | 303 | Várzea Grande | BRA | Mato Grosso | 214435 |
| 303 | 304 | Petrolina | BRA | Pernambuco | 210540 |
| 304 | 305 | Barueri | BRA | São Paulo | 208426 |
| 305 | 306 | Viamão | BRA | Rio Grande do Sul | 207557 |
| 306 | 307 | Ipatinga | BRA | Minas Gerais | 206338 |
| 307 | 308 | Juazeiro | BRA | Bahia | 201073 |
| 308 | 309 | Juazeiro do Norte | BRA | Ceará | 199636 |
| 309 | 310 | Taboão da Serra | BRA | São Paulo | 197550 |
| 310 | 311 | São José dos Pinhais | BRA | Paraná | 196884 |
| 311 | 312 | Magé | BRA | Rio de Janeiro | 196147 |
| 312 | 313 | Suzano | BRA | São Paulo | 195434 |
| 313 | 314 | São Leopoldo | BRA | Rio Grande do Sul | 189258 |
| 314 | 315 | Marília | BRA | São Paulo | 188691 |
| 315 | 316 | São Carlos | BRA | São Paulo | 187122 |
| 316 | 317 | Sumaré | BRA | São Paulo | 186205 |
| 317 | 318 | Presidente Prudente | BRA | São Paulo | 185340 |
| 318 | 319 | Divinópolis | BRA | Minas Gerais | 185047 |
| 319 | 320 | Sete Lagoas | BRA | Minas Gerais | 182984 |
| 320 | 321 | Rio Grande | BRA | Rio Grande do Sul | 182222 |
| 321 | 322 | Itabuna | BRA | Bahia | 182148 |
| 322 | 323 | Jequié | BRA | Bahia | 179128 |
| 323 | 324 | Arapiraca | BRA | Alagoas | 178988 |
| 324 | 325 | Colombo | BRA | Paraná | 177764 |
| 325 | 326 | Americana | BRA | São Paulo | 177409 |
| 326 | 327 | Alvorada | BRA | Rio Grande do Sul | 175574 |
| 327 | 328 | Araraquara | BRA | São Paulo | 174381 |
| 328 | 329 | Itaboraí | BRA | Rio de Janeiro | 173977 |
| 329 | 330 | Santa Bárbara d´Oeste | BRA | São Paulo | 171657 |
| 330 | 331 | Nova Friburgo | BRA | Rio de Janeiro | 170697 |
| 331 | 332 | Jacareí | BRA | São Paulo | 170356 |
| 332 | 333 | Araçatuba | BRA | São Paulo | 169303 |
| 333 | 334 | Barra Mansa | BRA | Rio de Janeiro | 168953 |
| 334 | 335 | Praia Grande | BRA | São Paulo | 168434 |
| 335 | 336 | Marabá | BRA | Pará | 167795 |
| 336 | 337 | Criciúma | BRA | Santa Catarina | 167661 |
| 337 | 338 | Boa Vista | BRA | Roraima | 167185 |
| 338 | 339 | Passo Fundo | BRA | Rio Grande do Sul | 166343 |
| 339 | 340 | Dourados | BRA | Mato Grosso do Sul | 164716 |
| 340 | 341 | Santa Luzia | BRA | Minas Gerais | 164704 |
| 341 | 342 | Rio Claro | BRA | São Paulo | 163551 |
| 342 | 343 | Maracanaú | BRA | Ceará | 162022 |
| 343 | 344 | Guarapuava | BRA | Paraná | 160510 |
| 344 | 345 | Rondonópolis | BRA | Mato Grosso | 155115 |
| 345 | 346 | São José | BRA | Santa Catarina | 155105 |
| 346 | 347 | Cachoeiro de Itapemirim | BRA | Espírito Santo | 155024 |
| 347 | 348 | Nilópolis | BRA | Rio de Janeiro | 153383 |
| 348 | 349 | Itapevi | BRA | São Paulo | 150664 |
| 349 | 350 | Cabo de Santo Agostinho | BRA | Pernambuco | 149964 |
| 350 | 351 | Camaçari | BRA | Bahia | 149146 |
| 351 | 352 | Sobral | BRA | Ceará | 146005 |
| 352 | 353 | Itajaí | BRA | Santa Catarina | 145197 |
| 353 | 354 | Chapecó | BRA | Santa Catarina | 144158 |
| 354 | 355 | Cotia | BRA | São Paulo | 140042 |
| 355 | 356 | Lages | BRA | Santa Catarina | 139570 |
| 356 | 357 | Ferraz de Vasconcelos | BRA | São Paulo | 139283 |
| 357 | 358 | Indaiatuba | BRA | São Paulo | 135968 |
| 358 | 359 | Hortolândia | BRA | São Paulo | 135755 |
| 359 | 360 | Caxias | BRA | Maranhão | 133980 |
| 360 | 361 | São Caetano do Sul | BRA | São Paulo | 133321 |
| 361 | 362 | Itu | BRA | São Paulo | 132736 |
| 362 | 363 | Nossa Senhora do Socorro | BRA | Sergipe | 131351 |
| 363 | 364 | Parnaíba | BRA | Piauí | 129756 |
| 364 | 365 | Poços de Caldas | BRA | Minas Gerais | 129683 |
| 365 | 366 | Teresópolis | BRA | Rio de Janeiro | 128079 |
| 366 | 367 | Barreiras | BRA | Bahia | 127801 |
| 367 | 368 | Castanhal | BRA | Pará | 127634 |
| 368 | 369 | Alagoinhas | BRA | Bahia | 126820 |
| 369 | 370 | Itapecerica da Serra | BRA | São Paulo | 126672 |
| 370 | 371 | Uruguaiana | BRA | Rio Grande do Sul | 126305 |
| 371 | 372 | Paranaguá | BRA | Paraná | 126076 |
| 372 | 373 | Ibirité | BRA | Minas Gerais | 125982 |
| 373 | 374 | Timon | BRA | Maranhão | 125812 |
| 374 | 375 | Luziânia | BRA | Goiás | 125597 |
| 375 | 376 | Macaé | BRA | Rio de Janeiro | 125597 |
| 376 | 377 | Teófilo Otoni | BRA | Minas Gerais | 124489 |
| 377 | 378 | Moji-Guaçu | BRA | São Paulo | 123782 |
| 378 | 379 | Palmas | BRA | Tocantins | 121919 |
| 379 | 380 | Pindamonhangaba | BRA | São Paulo | 121904 |
| 380 | 381 | Francisco Morato | BRA | São Paulo | 121197 |
| 381 | 382 | Bagé | BRA | Rio Grande do Sul | 120793 |
| 382 | 383 | Sapucaia do Sul | BRA | Rio Grande do Sul | 120217 |
| 383 | 384 | Cabo Frio | BRA | Rio de Janeiro | 119503 |
| 384 | 385 | Itapetininga | BRA | São Paulo | 119391 |
| 385 | 386 | Patos de Minas | BRA | Minas Gerais | 119262 |
| 386 | 387 | Camaragibe | BRA | Pernambuco | 118968 |
| 387 | 388 | Bragança Paulista | BRA | São Paulo | 116929 |
| 388 | 389 | Queimados | BRA | Rio de Janeiro | 115020 |
| 389 | 390 | Araguaína | BRA | Tocantins | 114948 |
| 390 | 391 | Garanhuns | BRA | Pernambuco | 114603 |
| 391 | 392 | Vitória de Santo Antão | BRA | Pernambuco | 113595 |
| 392 | 393 | Santa Rita | BRA | Paraíba | 113135 |
| 393 | 394 | Barbacena | BRA | Minas Gerais | 113079 |
| 394 | 395 | Abaetetuba | BRA | Pará | 111258 |
| 395 | 396 | Jaú | BRA | São Paulo | 109965 |
| 396 | 397 | Lauro de Freitas | BRA | Bahia | 109236 |
| 397 | 398 | Franco da Rocha | BRA | São Paulo | 108964 |
| 398 | 399 | Teixeira de Freitas | BRA | Bahia | 108441 |
| 399 | 400 | Varginha | BRA | Minas Gerais | 108314 |
| 400 | 401 | Ribeirão Pires | BRA | São Paulo | 108121 |
| 401 | 402 | Sabará | BRA | Minas Gerais | 107781 |
| 402 | 403 | Catanduva | BRA | São Paulo | 107761 |
| 403 | 404 | Rio Verde | BRA | Goiás | 107755 |
| 404 | 405 | Botucatu | BRA | São Paulo | 107663 |
| 405 | 406 | Colatina | BRA | Espírito Santo | 107354 |
| 406 | 407 | Santa Cruz do Sul | BRA | Rio Grande do Sul | 106734 |
| 407 | 408 | Linhares | BRA | Espírito Santo | 106278 |
| 408 | 409 | Apucarana | BRA | Paraná | 105114 |
| 409 | 410 | Barretos | BRA | São Paulo | 104156 |
| 410 | 411 | Guaratinguetá | BRA | São Paulo | 103433 |
| 411 | 412 | Cachoeirinha | BRA | Rio Grande do Sul | 103240 |
| 412 | 413 | Codó | BRA | Maranhão | 103153 |
| 413 | 414 | Jaraguá do Sul | BRA | Santa Catarina | 102580 |
| 414 | 415 | Cubatão | BRA | São Paulo | 102372 |
| 415 | 416 | Itabira | BRA | Minas Gerais | 102217 |
| 416 | 417 | Itaituba | BRA | Pará | 101320 |
| 417 | 418 | Araras | BRA | São Paulo | 101046 |
| 418 | 419 | Resende | BRA | Rio de Janeiro | 100627 |
| 419 | 420 | Atibaia | BRA | São Paulo | 100356 |
| 420 | 421 | Pouso Alegre | BRA | Minas Gerais | 100028 |
| 421 | 422 | Toledo | BRA | Paraná | 99387 |
| 422 | 423 | Crato | BRA | Ceará | 98965 |
| 423 | 424 | Passos | BRA | Minas Gerais | 98570 |
| 424 | 425 | Araguari | BRA | Minas Gerais | 98399 |
| 425 | 426 | São José de Ribamar | BRA | Maranhão | 98318 |
| 426 | 427 | Pinhais | BRA | Paraná | 98198 |
| 427 | 428 | Sertãozinho | BRA | São Paulo | 98140 |
| 428 | 429 | Conselheiro Lafaiete | BRA | Minas Gerais | 97507 |
| 429 | 430 | Paulo Afonso | BRA | Bahia | 97291 |
| 430 | 431 | Angra dos Reis | BRA | Rio de Janeiro | 96864 |
| 431 | 432 | Eunápolis | BRA | Bahia | 96610 |
| 432 | 433 | Salto | BRA | São Paulo | 96348 |
| 433 | 434 | Ourinhos | BRA | São Paulo | 96291 |
| 434 | 435 | Parnamirim | BRA | Rio Grande do Norte | 96210 |
| 435 | 436 | Jacobina | BRA | Bahia | 96131 |
| 436 | 437 | Coronel Fabriciano | BRA | Minas Gerais | 95933 |
| 437 | 438 | Birigui | BRA | São Paulo | 94685 |
| 438 | 439 | Tatuí | BRA | São Paulo | 93897 |
| 439 | 440 | Ji-Paraná | BRA | Rondônia | 93346 |
| 440 | 441 | Bacabal | BRA | Maranhão | 93121 |
| 441 | 442 | Cametá | BRA | Pará | 92779 |
| 442 | 443 | Guaíba | BRA | Rio Grande do Sul | 92224 |
| 443 | 444 | São Lourenço da Mata | BRA | Pernambuco | 91999 |
| 444 | 445 | Santana do Livramento | BRA | Rio Grande do Sul | 91779 |
| 445 | 446 | Votorantim | BRA | São Paulo | 91777 |
| 446 | 447 | Campo Largo | BRA | Paraná | 91203 |
| 447 | 448 | Patos | BRA | Paraíba | 90519 |
| 448 | 449 | Ituiutaba | BRA | Minas Gerais | 90507 |
| 449 | 450 | Corumbá | BRA | Mato Grosso do Sul | 90111 |
| 450 | 451 | Palhoça | BRA | Santa Catarina | 89465 |
| 451 | 452 | Barra do Piraí | BRA | Rio de Janeiro | 89388 |
| 452 | 453 | Bento Gonçalves | BRA | Rio Grande do Sul | 89254 |
| 453 | 454 | Poá | BRA | São Paulo | 89236 |
| 454 | 455 | Águas Lindas de Goiás | BRA | Goiás | 89200 |
| 455 | 456 | London | GBR | England | 7285000 |
| 456 | 457 | Birmingham | GBR | England | 1013000 |
| 457 | 458 | Glasgow | GBR | Scotland | 619680 |
| 458 | 459 | Liverpool | GBR | England | 461000 |
| 459 | 460 | Edinburgh | GBR | Scotland | 450180 |
| 460 | 461 | Sheffield | GBR | England | 431607 |
| 461 | 462 | Manchester | GBR | England | 430000 |
| 462 | 463 | Leeds | GBR | England | 424194 |
| 463 | 464 | Bristol | GBR | England | 402000 |
| 464 | 465 | Cardiff | GBR | Wales | 321000 |
| 465 | 466 | Coventry | GBR | England | 304000 |
| 466 | 467 | Leicester | GBR | England | 294000 |
| 467 | 468 | Bradford | GBR | England | 289376 |
| 468 | 469 | Belfast | GBR | North Ireland | 287500 |
| 469 | 470 | Nottingham | GBR | England | 287000 |
| 470 | 471 | Kingston upon Hull | GBR | England | 262000 |
| 471 | 472 | Plymouth | GBR | England | 253000 |
| 472 | 473 | Stoke-on-Trent | GBR | England | 252000 |
| 473 | 474 | Wolverhampton | GBR | England | 242000 |
| 474 | 475 | Derby | GBR | England | 236000 |
| 475 | 476 | Swansea | GBR | Wales | 230000 |
| 476 | 477 | Southampton | GBR | England | 216000 |
| 477 | 478 | Aberdeen | GBR | Scotland | 213070 |
| 478 | 479 | Northampton | GBR | England | 196000 |
| 479 | 480 | Dudley | GBR | England | 192171 |
| 480 | 481 | Portsmouth | GBR | England | 190000 |
| 481 | 482 | Newcastle upon Tyne | GBR | England | 189150 |
| 482 | 483 | Sunderland | GBR | England | 183310 |
| 483 | 484 | Luton | GBR | England | 183000 |
| 484 | 485 | Swindon | GBR | England | 180000 |
| 485 | 486 | Southend-on-Sea | GBR | England | 176000 |
| 486 | 487 | Walsall | GBR | England | 174739 |
| 487 | 488 | Bournemouth | GBR | England | 162000 |
| 488 | 489 | Peterborough | GBR | England | 156000 |
| 489 | 490 | Brighton | GBR | England | 156124 |
| 490 | 491 | Blackpool | GBR | England | 151000 |
| 491 | 492 | Dundee | GBR | Scotland | 146690 |
| 492 | 493 | West Bromwich | GBR | England | 146386 |
| 493 | 494 | Reading | GBR | England | 148000 |
| 494 | 495 | Oldbury/Smethwick (Warley) | GBR | England | 145542 |
| 495 | 496 | Middlesbrough | GBR | England | 145000 |
| 496 | 497 | Huddersfield | GBR | England | 143726 |
| 497 | 498 | Oxford | GBR | England | 144000 |
| 498 | 499 | Poole | GBR | England | 141000 |
| 499 | 500 | Bolton | GBR | England | 139020 |
| 500 | 501 | Blackburn | GBR | England | 140000 |
| 501 | 502 | Newport | GBR | Wales | 139000 |
| 502 | 503 | Preston | GBR | England | 135000 |
| 503 | 504 | Stockport | GBR | England | 132813 |
| 504 | 505 | Norwich | GBR | England | 124000 |
| 505 | 506 | Rotherham | GBR | England | 121380 |
| 506 | 507 | Cambridge | GBR | England | 121000 |
| 507 | 508 | Watford | GBR | England | 113080 |
| 508 | 509 | Ipswich | GBR | England | 114000 |
| 509 | 510 | Slough | GBR | England | 112000 |
| 510 | 511 | Exeter | GBR | England | 111000 |
| 511 | 512 | Cheltenham | GBR | England | 106000 |
| 512 | 513 | Gloucester | GBR | England | 107000 |
| 513 | 514 | Saint Helens | GBR | England | 106293 |
| 514 | 515 | Sutton Coldfield | GBR | England | 106001 |
| 515 | 516 | York | GBR | England | 104425 |
| 516 | 517 | Oldham | GBR | England | 103931 |
| 517 | 518 | Basildon | GBR | England | 100924 |
| 518 | 519 | Worthing | GBR | England | 100000 |
| 519 | 520 | Chelmsford | GBR | England | 97451 |
| 520 | 521 | Colchester | GBR | England | 96063 |
| 521 | 522 | Crawley | GBR | England | 97000 |
| 522 | 523 | Gillingham | GBR | England | 92000 |
| 523 | 524 | Solihull | GBR | England | 94531 |
| 524 | 525 | Rochdale | GBR | England | 94313 |
| 525 | 526 | Birkenhead | GBR | England | 93087 |
| 526 | 527 | Worcester | GBR | England | 95000 |
| 527 | 528 | Hartlepool | GBR | England | 92000 |
| 528 | 529 | Halifax | GBR | England | 91069 |
| 529 | 530 | Woking/Byfleet | GBR | England | 92000 |
| 530 | 531 | Southport | GBR | England | 90959 |
| 531 | 532 | Maidstone | GBR | England | 90878 |
| 532 | 533 | Eastbourne | GBR | England | 90000 |
| 533 | 534 | Grimsby | GBR | England | 89000 |
| 534 | 535 | Saint Helier | GBR | Jersey | 27523 |
| 535 | 536 | Douglas | GBR | – | 23487 |
| 536 | 537 | Road Town | VGB | Tortola | 8000 |
| 537 | 538 | Bandar Seri Begawan | BRN | Brunei and Muara | 21484 |
| 538 | 539 | Sofija | BGR | Grad Sofija | 1122302 |
| 539 | 540 | Plovdiv | BGR | Plovdiv | 342584 |
| 540 | 541 | Varna | BGR | Varna | 299801 |
| 541 | 542 | Burgas | BGR | Burgas | 195255 |
| 542 | 543 | Ruse | BGR | Ruse | 166467 |
| 543 | 544 | Stara Zagora | BGR | Haskovo | 147939 |
| 544 | 545 | Pleven | BGR | Lovec | 121952 |
| 545 | 546 | Sliven | BGR | Burgas | 105530 |
| 546 | 547 | Dobric | BGR | Varna | 100399 |
| 547 | 548 | Šumen | BGR | Varna | 94686 |
| 548 | 549 | Ouagadougou | BFA | Kadiogo | 824000 |
| 549 | 550 | Bobo-Dioulasso | BFA | Houet | 300000 |
| 550 | 551 | Koudougou | BFA | Boulkiemdé | 105000 |
| 551 | 552 | Bujumbura | BDI | Bujumbura | 300000 |
| 552 | 553 | George Town | CYM | Grand Cayman | 19600 |
| 553 | 554 | Santiago de Chile | CHL | Santiago | 4703954 |
| 554 | 555 | Puente Alto | CHL | Santiago | 386236 |
| 555 | 556 | Viña del Mar | CHL | Valparaíso | 312493 |
| 556 | 557 | Valparaíso | CHL | Valparaíso | 293800 |
| 557 | 558 | Talcahuano | CHL | Bíobío | 277752 |
| 558 | 559 | Antofagasta | CHL | Antofagasta | 251429 |
| 559 | 560 | San Bernardo | CHL | Santiago | 241910 |
| 560 | 561 | Temuco | CHL | La Araucanía | 233041 |
| 561 | 562 | Concepción | CHL | Bíobío | 217664 |
| 562 | 563 | Rancagua | CHL | O´Higgins | 212977 |
| 563 | 564 | Arica | CHL | Tarapacá | 189036 |
| 564 | 565 | Talca | CHL | Maule | 187557 |
| 565 | 566 | Chillán | CHL | Bíobío | 178182 |
| 566 | 567 | Iquique | CHL | Tarapacá | 177892 |
| 567 | 568 | Los Angeles | CHL | Bíobío | 158215 |
| 568 | 569 | Puerto Montt | CHL | Los Lagos | 152194 |
| 569 | 570 | Coquimbo | CHL | Coquimbo | 143353 |
| 570 | 571 | Osorno | CHL | Los Lagos | 141468 |
| 571 | 572 | La Serena | CHL | Coquimbo | 137409 |
| 572 | 573 | Calama | CHL | Antofagasta | 137265 |
| 573 | 574 | Valdivia | CHL | Los Lagos | 133106 |
| 574 | 575 | Punta Arenas | CHL | Magallanes | 125631 |
| 575 | 576 | Copiapó | CHL | Atacama | 120128 |
| 576 | 577 | Quilpué | CHL | Valparaíso | 118857 |
| 577 | 578 | Curicó | CHL | Maule | 115766 |
| 578 | 579 | Ovalle | CHL | Coquimbo | 94854 |
| 579 | 580 | Coronel | CHL | Bíobío | 93061 |
| 580 | 581 | San Pedro de la Paz | CHL | Bíobío | 91684 |
| 581 | 582 | Melipilla | CHL | Santiago | 91056 |
| 582 | 583 | Avarua | COK | Rarotonga | 11900 |
| 583 | 584 | San José | CRI | San José | 339131 |
| 584 | 585 | Djibouti | DJI | Djibouti | 383000 |
| 585 | 586 | Roseau | DMA | St George | 16243 |
| 586 | 587 | Santo Domingo de Guzmán | DOM | Distrito Nacional | 1609966 |
| 587 | 588 | Santiago de los Caballeros | DOM | Santiago | 365463 |
| 588 | 589 | La Romana | DOM | La Romana | 140204 |
| 589 | 590 | San Pedro de Macorís | DOM | San Pedro de Macorís | 124735 |
| 590 | 591 | San Francisco de Macorís | DOM | Duarte | 108485 |
| 591 | 592 | San Felipe de Puerto Plata | DOM | Puerto Plata | 89423 |
| 592 | 593 | Guayaquil | ECU | Guayas | 2070040 |
| 593 | 594 | Quito | ECU | Pichincha | 1573458 |
| 594 | 595 | Cuenca | ECU | Azuay | 270353 |
| 595 | 596 | Machala | ECU | El Oro | 210368 |
| 596 | 597 | Santo Domingo de los Colorados | ECU | Pichincha | 202111 |
| 597 | 598 | Portoviejo | ECU | Manabí | 176413 |
| 598 | 599 | Ambato | ECU | Tungurahua | 169612 |
| 599 | 600 | Manta | ECU | Manabí | 164739 |
| 600 | 601 | Duran [Eloy Alfaro] | ECU | Guayas | 152514 |
| 601 | 602 | Ibarra | ECU | Imbabura | 130643 |
| 602 | 603 | Quevedo | ECU | Los Ríos | 129631 |
| 603 | 604 | Milagro | ECU | Guayas | 124177 |
| 604 | 605 | Loja | ECU | Loja | 123875 |
| 605 | 606 | Ríobamba | ECU | Chimborazo | 123163 |
| 606 | 607 | Esmeraldas | ECU | Esmeraldas | 123045 |
| 607 | 608 | Cairo | EGY | Kairo | 6789479 |
| 608 | 609 | Alexandria | EGY | Aleksandria | 3328196 |
| 609 | 610 | Giza | EGY | Giza | 2221868 |
| 610 | 611 | Shubra al-Khayma | EGY | al-Qalyubiya | 870716 |
| 611 | 612 | Port Said | EGY | Port Said | 469533 |
| 612 | 613 | Suez | EGY | Suez | 417610 |
| 613 | 614 | al-Mahallat al-Kubra | EGY | al-Gharbiya | 395402 |
| 614 | 615 | Tanta | EGY | al-Gharbiya | 371010 |
| 615 | 616 | al-Mansura | EGY | al-Daqahliya | 369621 |
| 616 | 617 | Luxor | EGY | Luxor | 360503 |
| 617 | 618 | Asyut | EGY | Asyut | 343498 |
| 618 | 619 | Bahtim | EGY | al-Qalyubiya | 275807 |
| 619 | 620 | Zagazig | EGY | al-Sharqiya | 267351 |
| 620 | 621 | al-Faiyum | EGY | al-Faiyum | 260964 |
| 621 | 622 | Ismailia | EGY | Ismailia | 254477 |
| 622 | 623 | Kafr al-Dawwar | EGY | al-Buhayra | 231978 |
| 623 | 624 | Assuan | EGY | Assuan | 219017 |
| 624 | 625 | Damanhur | EGY | al-Buhayra | 212203 |
| 625 | 626 | al-Minya | EGY | al-Minya | 201360 |
| 626 | 627 | Bani Suwayf | EGY | Bani Suwayf | 172032 |
| 627 | 628 | Qina | EGY | Qina | 171275 |
| 628 | 629 | Sawhaj | EGY | Sawhaj | 170125 |
| 629 | 630 | Shibin al-Kawm | EGY | al-Minufiya | 159909 |
| 630 | 631 | Bulaq al-Dakrur | EGY | Giza | 148787 |
| 631 | 632 | Banha | EGY | al-Qalyubiya | 145792 |
| 632 | 633 | Warraq al-Arab | EGY | Giza | 127108 |
| 633 | 634 | Kafr al-Shaykh | EGY | Kafr al-Shaykh | 124819 |
| 634 | 635 | Mallawi | EGY | al-Minya | 119283 |
| 635 | 636 | Bilbays | EGY | al-Sharqiya | 113608 |
| 636 | 637 | Mit Ghamr | EGY | al-Daqahliya | 101801 |
| 637 | 638 | al-Arish | EGY | Shamal Sina | 100447 |
| 638 | 639 | Talkha | EGY | al-Daqahliya | 97700 |
| 639 | 640 | Qalyub | EGY | al-Qalyubiya | 97200 |
| 640 | 641 | Jirja | EGY | Sawhaj | 95400 |
| 641 | 642 | Idfu | EGY | Qina | 94200 |
| 642 | 643 | al-Hawamidiya | EGY | Giza | 91700 |
| 643 | 644 | Disuq | EGY | Kafr al-Shaykh | 91300 |
| 644 | 645 | San Salvador | SLV | San Salvador | 415346 |
| 645 | 646 | Santa Ana | SLV | Santa Ana | 139389 |
| 646 | 647 | Mejicanos | SLV | San Salvador | 138800 |
| 647 | 648 | Soyapango | SLV | San Salvador | 129800 |
| 648 | 649 | San Miguel | SLV | San Miguel | 127696 |
| 649 | 650 | Nueva San Salvador | SLV | La Libertad | 98400 |
| 650 | 651 | Apopa | SLV | San Salvador | 88800 |
| 651 | 652 | Asmara | ERI | Maekel | 431000 |
| 652 | 653 | Madrid | ESP | Madrid | 2879052 |
| 653 | 654 | Barcelona | ESP | Katalonia | 1503451 |
| 654 | 655 | Valencia | ESP | Valencia | 739412 |
| 655 | 656 | Sevilla | ESP | Andalusia | 701927 |
| 656 | 657 | Zaragoza | ESP | Aragonia | 603367 |
| 657 | 658 | Málaga | ESP | Andalusia | 530553 |
| 658 | 659 | Bilbao | ESP | Baskimaa | 357589 |
| 659 | 660 | Las Palmas de Gran Canaria | ESP | Canary Islands | 354757 |
| 660 | 661 | Murcia | ESP | Murcia | 353504 |
| 661 | 662 | Palma de Mallorca | ESP | Balears | 326993 |
| 662 | 663 | Valladolid | ESP | Castilla and León | 319998 |
| 663 | 664 | Córdoba | ESP | Andalusia | 311708 |
| 664 | 665 | Vigo | ESP | Galicia | 283670 |
| 665 | 666 | Alicante [Alacant] | ESP | Valencia | 272432 |
| 666 | 667 | Gijón | ESP | Asturia | 267980 |
| 667 | 668 | L´Hospitalet de Llobregat | ESP | Katalonia | 247986 |
| 668 | 669 | Granada | ESP | Andalusia | 244767 |
| 669 | 670 | A Coruña (La Coruña) | ESP | Galicia | 243402 |
| 670 | 671 | Vitoria-Gasteiz | ESP | Baskimaa | 217154 |
| 671 | 672 | Santa Cruz de Tenerife | ESP | Canary Islands | 213050 |
| 672 | 673 | Badalona | ESP | Katalonia | 209635 |
| 673 | 674 | Oviedo | ESP | Asturia | 200453 |
| 674 | 675 | Móstoles | ESP | Madrid | 195351 |
| 675 | 676 | Elche [Elx] | ESP | Valencia | 193174 |
| 676 | 677 | Sabadell | ESP | Katalonia | 184859 |
| 677 | 678 | Santander | ESP | Cantabria | 184165 |
| 678 | 679 | Jerez de la Frontera | ESP | Andalusia | 182660 |
| 679 | 680 | Pamplona [Iruña] | ESP | Navarra | 180483 |
| 680 | 681 | Donostia-San Sebastián | ESP | Baskimaa | 179208 |
| 681 | 682 | Cartagena | ESP | Murcia | 177709 |
| 682 | 683 | Leganés | ESP | Madrid | 173163 |
| 683 | 684 | Fuenlabrada | ESP | Madrid | 171173 |
| 684 | 685 | Almería | ESP | Andalusia | 169027 |
| 685 | 686 | Terrassa | ESP | Katalonia | 168695 |
| 686 | 687 | Alcalá de Henares | ESP | Madrid | 164463 |
| 687 | 688 | Burgos | ESP | Castilla and León | 162802 |
| 688 | 689 | Salamanca | ESP | Castilla and León | 158720 |
| 689 | 690 | Albacete | ESP | Kastilia-La Mancha | 147527 |
| 690 | 691 | Getafe | ESP | Madrid | 145371 |
| 691 | 692 | Cádiz | ESP | Andalusia | 142449 |
| 692 | 693 | Alcorcón | ESP | Madrid | 142048 |
| 693 | 694 | Huelva | ESP | Andalusia | 140583 |
| 694 | 695 | León | ESP | Castilla and León | 139809 |
| 695 | 696 | Castellón de la Plana [Castell | ESP | Valencia | 139712 |
| 696 | 697 | Badajoz | ESP | Extremadura | 136613 |
| 697 | 698 | [San Cristóbal de] la Laguna | ESP | Canary Islands | 127945 |
| 698 | 699 | Logroño | ESP | La Rioja | 127093 |
| 699 | 700 | Santa Coloma de Gramenet | ESP | Katalonia | 120802 |
| 700 | 701 | Tarragona | ESP | Katalonia | 113016 |
| 701 | 702 | Lleida (Lérida) | ESP | Katalonia | 112207 |
| 702 | 703 | Jaén | ESP | Andalusia | 109247 |
| 703 | 704 | Ourense (Orense) | ESP | Galicia | 109120 |
| 704 | 705 | Mataró | ESP | Katalonia | 104095 |
| 705 | 706 | Algeciras | ESP | Andalusia | 103106 |
| 706 | 707 | Marbella | ESP | Andalusia | 101144 |
| 707 | 708 | Barakaldo | ESP | Baskimaa | 98212 |
| 708 | 709 | Dos Hermanas | ESP | Andalusia | 94591 |
| 709 | 710 | Santiago de Compostela | ESP | Galicia | 93745 |
| 710 | 711 | Torrejón de Ardoz | ESP | Madrid | 92262 |
| 711 | 712 | Cape Town | ZAF | Western Cape | 2352121 |
| 712 | 713 | Soweto | ZAF | Gauteng | 904165 |
| 713 | 714 | Johannesburg | ZAF | Gauteng | 756653 |
| 714 | 715 | Port Elizabeth | ZAF | Eastern Cape | 752319 |
| 715 | 716 | Pretoria | ZAF | Gauteng | 658630 |
| 716 | 717 | Inanda | ZAF | KwaZulu-Natal | 634065 |
| 717 | 718 | Durban | ZAF | KwaZulu-Natal | 566120 |
| 718 | 719 | Vanderbijlpark | ZAF | Gauteng | 468931 |
| 719 | 720 | Kempton Park | ZAF | Gauteng | 442633 |
| 720 | 721 | Alberton | ZAF | Gauteng | 410102 |
| 721 | 722 | Pinetown | ZAF | KwaZulu-Natal | 378810 |
| 722 | 723 | Pietermaritzburg | ZAF | KwaZulu-Natal | 370190 |
| 723 | 724 | Benoni | ZAF | Gauteng | 365467 |
| 724 | 725 | Randburg | ZAF | Gauteng | 341288 |
| 725 | 726 | Umlazi | ZAF | KwaZulu-Natal | 339233 |
| 726 | 727 | Bloemfontein | ZAF | Free State | 334341 |
| 727 | 728 | Vereeniging | ZAF | Gauteng | 328535 |
| 728 | 729 | Wonderboom | ZAF | Gauteng | 283289 |
| 729 | 730 | Roodepoort | ZAF | Gauteng | 279340 |
| 730 | 731 | Boksburg | ZAF | Gauteng | 262648 |
| 731 | 732 | Klerksdorp | ZAF | North West | 261911 |
| 732 | 733 | Soshanguve | ZAF | Gauteng | 242727 |
| 733 | 734 | Newcastle | ZAF | KwaZulu-Natal | 222993 |
| 734 | 735 | East London | ZAF | Eastern Cape | 221047 |
| 735 | 736 | Welkom | ZAF | Free State | 203296 |
| 736 | 737 | Kimberley | ZAF | Northern Cape | 197254 |
| 737 | 738 | Uitenhage | ZAF | Eastern Cape | 192120 |
| 738 | 739 | Chatsworth | ZAF | KwaZulu-Natal | 189885 |
| 739 | 740 | Mdantsane | ZAF | Eastern Cape | 182639 |
| 740 | 741 | Krugersdorp | ZAF | Gauteng | 181503 |
| 741 | 742 | Botshabelo | ZAF | Free State | 177971 |
| 742 | 743 | Brakpan | ZAF | Gauteng | 171363 |
| 743 | 744 | Witbank | ZAF | Mpumalanga | 167183 |
| 744 | 745 | Oberholzer | ZAF | Gauteng | 164367 |
| 745 | 746 | Germiston | ZAF | Gauteng | 164252 |
| 746 | 747 | Springs | ZAF | Gauteng | 162072 |
| 747 | 748 | Westonaria | ZAF | Gauteng | 159632 |
| 748 | 749 | Randfontein | ZAF | Gauteng | 120838 |
| 749 | 750 | Paarl | ZAF | Western Cape | 105768 |
| 750 | 751 | Potchefstroom | ZAF | North West | 101817 |
| 751 | 752 | Rustenburg | ZAF | North West | 97008 |
| 752 | 753 | Nigel | ZAF | Gauteng | 96734 |
| 753 | 754 | George | ZAF | Western Cape | 93818 |
| 754 | 755 | Ladysmith | ZAF | KwaZulu-Natal | 89292 |
| 755 | 756 | Addis Abeba | ETH | Addis Abeba | 2495000 |
| 756 | 757 | Dire Dawa | ETH | Dire Dawa | 164851 |
| 757 | 758 | Nazret | ETH | Oromia | 127842 |
| 758 | 759 | Gonder | ETH | Amhara | 112249 |
| 759 | 760 | Dese | ETH | Amhara | 97314 |
| 760 | 761 | Mekele | ETH | Tigray | 96938 |
| 761 | 762 | Bahir Dar | ETH | Amhara | 96140 |
| 762 | 763 | Stanley | FLK | East Falkland | 1636 |
| 763 | 764 | Suva | FJI | Central | 77366 |
| 764 | 765 | Quezon | PHL | National Capital Reg | 2173831 |
| 765 | 766 | Manila | PHL | National Capital Reg | 1581082 |
| 766 | 767 | Kalookan | PHL | National Capital Reg | 1177604 |
| 767 | 768 | Davao | PHL | Southern Mindanao | 1147116 |
| 768 | 769 | Cebu | PHL | Central Visayas | 718821 |
| 769 | 770 | Zamboanga | PHL | Western Mindanao | 601794 |
| 770 | 771 | Pasig | PHL | National Capital Reg | 505058 |
| 771 | 772 | Valenzuela | PHL | National Capital Reg | 485433 |
| 772 | 773 | Las Piñas | PHL | National Capital Reg | 472780 |
| 773 | 774 | Antipolo | PHL | Southern Tagalog | 470866 |
| 774 | 775 | Taguig | PHL | National Capital Reg | 467375 |
| 775 | 776 | Cagayan de Oro | PHL | Northern Mindanao | 461877 |
| 776 | 777 | Parañaque | PHL | National Capital Reg | 449811 |
| 777 | 778 | Makati | PHL | National Capital Reg | 444867 |
| 778 | 779 | Bacolod | PHL | Western Visayas | 429076 |
| 779 | 780 | General Santos | PHL | Southern Mindanao | 411822 |
| 780 | 781 | Marikina | PHL | National Capital Reg | 391170 |
| 781 | 782 | Dasmariñas | PHL | Southern Tagalog | 379520 |
| 782 | 783 | Muntinlupa | PHL | National Capital Reg | 379310 |
| 783 | 784 | Iloilo | PHL | Western Visayas | 365820 |
| 784 | 785 | Pasay | PHL | National Capital Reg | 354908 |
| 785 | 786 | Malabon | PHL | National Capital Reg | 338855 |
| 786 | 787 | San José del Monte | PHL | Central Luzon | 315807 |
| 787 | 788 | Bacoor | PHL | Southern Tagalog | 305699 |
| 788 | 789 | Iligan | PHL | Central Mindanao | 285061 |
| 789 | 790 | Calamba | PHL | Southern Tagalog | 281146 |
| 790 | 791 | Mandaluyong | PHL | National Capital Reg | 278474 |
| 791 | 792 | Butuan | PHL | Caraga | 267279 |
| 792 | 793 | Angeles | PHL | Central Luzon | 263971 |
| 793 | 794 | Tarlac | PHL | Central Luzon | 262481 |
| 794 | 795 | Mandaue | PHL | Central Visayas | 259728 |
| 795 | 796 | Baguio | PHL | CAR | 252386 |
| 796 | 797 | Batangas | PHL | Southern Tagalog | 247588 |
| 797 | 798 | Cainta | PHL | Southern Tagalog | 242511 |
| 798 | 799 | San Pedro | PHL | Southern Tagalog | 231403 |
| 799 | 800 | Navotas | PHL | National Capital Reg | 230403 |
| 800 | 801 | Cabanatuan | PHL | Central Luzon | 222859 |
| 801 | 802 | San Fernando | PHL | Central Luzon | 221857 |
| 802 | 803 | Lipa | PHL | Southern Tagalog | 218447 |
| 803 | 804 | Lapu-Lapu | PHL | Central Visayas | 217019 |
| 804 | 805 | San Pablo | PHL | Southern Tagalog | 207927 |
| 805 | 806 | Biñan | PHL | Southern Tagalog | 201186 |
| 806 | 807 | Taytay | PHL | Southern Tagalog | 198183 |
| 807 | 808 | Lucena | PHL | Southern Tagalog | 196075 |
| 808 | 809 | Imus | PHL | Southern Tagalog | 195482 |
| 809 | 810 | Olongapo | PHL | Central Luzon | 194260 |
| 810 | 811 | Binangonan | PHL | Southern Tagalog | 187691 |
| 811 | 812 | Santa Rosa | PHL | Southern Tagalog | 185633 |
| 812 | 813 | Tagum | PHL | Southern Mindanao | 179531 |
| 813 | 814 | Tacloban | PHL | Eastern Visayas | 178639 |
| 814 | 815 | Malolos | PHL | Central Luzon | 175291 |
| 815 | 816 | Mabalacat | PHL | Central Luzon | 171045 |
| 816 | 817 | Cotabato | PHL | Central Mindanao | 163849 |
| 817 | 818 | Meycauayan | PHL | Central Luzon | 163037 |
| 818 | 819 | Puerto Princesa | PHL | Southern Tagalog | 161912 |
| 819 | 820 | Legazpi | PHL | Bicol | 157010 |
| 820 | 821 | Silang | PHL | Southern Tagalog | 156137 |
| 821 | 822 | Ormoc | PHL | Eastern Visayas | 154297 |
| 822 | 823 | San Carlos | PHL | Ilocos | 154264 |
| 823 | 824 | Kabankalan | PHL | Western Visayas | 149769 |
| 824 | 825 | Talisay | PHL | Central Visayas | 148110 |
| 825 | 826 | Valencia | PHL | Northern Mindanao | 147924 |
| 826 | 827 | Calbayog | PHL | Eastern Visayas | 147187 |
| 827 | 828 | Santa Maria | PHL | Central Luzon | 144282 |
| 828 | 829 | Pagadian | PHL | Western Mindanao | 142515 |
| 829 | 830 | Cadiz | PHL | Western Visayas | 141954 |
| 830 | 831 | Bago | PHL | Western Visayas | 141721 |
| 831 | 832 | Toledo | PHL | Central Visayas | 141174 |
| 832 | 833 | Naga | PHL | Bicol | 137810 |
| 833 | 834 | San Mateo | PHL | Southern Tagalog | 135603 |
| 834 | 835 | Panabo | PHL | Southern Mindanao | 133950 |
| 835 | 836 | Koronadal | PHL | Southern Mindanao | 133786 |
| 836 | 837 | Marawi | PHL | Central Mindanao | 131090 |
| 837 | 838 | Dagupan | PHL | Ilocos | 130328 |
| 838 | 839 | Sagay | PHL | Western Visayas | 129765 |
| 839 | 840 | Roxas | PHL | Western Visayas | 126352 |
| 840 | 841 | Lubao | PHL | Central Luzon | 125699 |
| 841 | 842 | Digos | PHL | Southern Mindanao | 125171 |
| 842 | 843 | San Miguel | PHL | Central Luzon | 123824 |
| 843 | 844 | Malaybalay | PHL | Northern Mindanao | 123672 |
| 844 | 845 | Tuguegarao | PHL | Cagayan Valley | 120645 |
| 845 | 846 | Ilagan | PHL | Cagayan Valley | 119990 |
| 846 | 847 | Baliuag | PHL | Central Luzon | 119675 |
| 847 | 848 | Surigao | PHL | Caraga | 118534 |
| 848 | 849 | San Carlos | PHL | Western Visayas | 118259 |
| 849 | 850 | San Juan del Monte | PHL | National Capital Reg | 117680 |
| 850 | 851 | Tanauan | PHL | Southern Tagalog | 117539 |
| 851 | 852 | Concepcion | PHL | Central Luzon | 115171 |
| 852 | 853 | Rodriguez (Montalban) | PHL | Southern Tagalog | 115167 |
| 853 | 854 | Sariaya | PHL | Southern Tagalog | 114568 |
| 854 | 855 | Malasiqui | PHL | Ilocos | 113190 |
| 855 | 856 | General Mariano Alvarez | PHL | Southern Tagalog | 112446 |
| 856 | 857 | Urdaneta | PHL | Ilocos | 111582 |
| 857 | 858 | Hagonoy | PHL | Central Luzon | 111425 |
| 858 | 859 | San Jose | PHL | Southern Tagalog | 111009 |
| 859 | 860 | Polomolok | PHL | Southern Mindanao | 110709 |
| 860 | 861 | Santiago | PHL | Cagayan Valley | 110531 |
| 861 | 862 | Tanza | PHL | Southern Tagalog | 110517 |
| 862 | 863 | Ozamis | PHL | Northern Mindanao | 110420 |
| 863 | 864 | Mexico | PHL | Central Luzon | 109481 |
| 864 | 865 | San Jose | PHL | Central Luzon | 108254 |
| 865 | 866 | Silay | PHL | Western Visayas | 107722 |
| 866 | 867 | General Trias | PHL | Southern Tagalog | 107691 |
| 867 | 868 | Tabaco | PHL | Bicol | 107166 |
| 868 | 869 | Cabuyao | PHL | Southern Tagalog | 106630 |
| 869 | 870 | Calapan | PHL | Southern Tagalog | 105910 |
| 870 | 871 | Mati | PHL | Southern Mindanao | 105908 |
| 871 | 872 | Midsayap | PHL | Central Mindanao | 105760 |
| 872 | 873 | Cauayan | PHL | Cagayan Valley | 103952 |
| 873 | 874 | Gingoog | PHL | Northern Mindanao | 102379 |
| 874 | 875 | Dumaguete | PHL | Central Visayas | 102265 |
| 875 | 876 | San Fernando | PHL | Ilocos | 102082 |
| 876 | 877 | Arayat | PHL | Central Luzon | 101792 |
| 877 | 878 | Bayawan (Tulong) | PHL | Central Visayas | 101391 |
| 878 | 879 | Kidapawan | PHL | Central Mindanao | 101205 |
| 879 | 880 | Daraga (Locsin) | PHL | Bicol | 101031 |
| 880 | 881 | Marilao | PHL | Central Luzon | 101017 |
| 881 | 882 | Malita | PHL | Southern Mindanao | 100000 |
| 882 | 883 | Dipolog | PHL | Western Mindanao | 99862 |
| 883 | 884 | Cavite | PHL | Southern Tagalog | 99367 |
| 884 | 885 | Danao | PHL | Central Visayas | 98781 |
| 885 | 886 | Bislig | PHL | Caraga | 97860 |
| 886 | 887 | Talavera | PHL | Central Luzon | 97329 |
| 887 | 888 | Guagua | PHL | Central Luzon | 96858 |
| 888 | 889 | Bayambang | PHL | Ilocos | 96609 |
| 889 | 890 | Nasugbu | PHL | Southern Tagalog | 96113 |
| 890 | 891 | Baybay | PHL | Eastern Visayas | 95630 |
| 891 | 892 | Capas | PHL | Central Luzon | 95219 |
| 892 | 893 | Sultan Kudarat | PHL | ARMM | 94861 |
| 893 | 894 | Laoag | PHL | Ilocos | 94466 |
| 894 | 895 | Bayugan | PHL | Caraga | 93623 |
| 895 | 896 | Malungon | PHL | Southern Mindanao | 93232 |
| 896 | 897 | Santa Cruz | PHL | Southern Tagalog | 92694 |
| 897 | 898 | Sorsogon | PHL | Bicol | 92512 |
| 898 | 899 | Candelaria | PHL | Southern Tagalog | 92429 |
| 899 | 900 | Ligao | PHL | Bicol | 90603 |
| 900 | 901 | Tórshavn | FRO | Streymoyar | 14542 |
| 901 | 902 | Libreville | GAB | Estuaire | 419000 |
| 902 | 903 | Serekunda | GMB | Kombo St Mary | 102600 |
| 903 | 904 | Banjul | GMB | Banjul | 42326 |
| 904 | 905 | Tbilisi | GEO | Tbilisi | 1235200 |
| 905 | 906 | Kutaisi | GEO | Imereti | 240900 |
| 906 | 907 | Rustavi | GEO | Kvemo Kartli | 155400 |
| 907 | 908 | Batumi | GEO | Adzaria [Atšara] | 137700 |
| 908 | 909 | Sohumi | GEO | Abhasia [Aphazeti] | 111700 |
| 909 | 910 | Accra | GHA | Greater Accra | 1070000 |
| 910 | 911 | Kumasi | GHA | Ashanti | 385192 |
| 911 | 912 | Tamale | GHA | Northern | 151069 |
| 912 | 913 | Tema | GHA | Greater Accra | 109975 |
| 913 | 914 | Sekondi-Takoradi | GHA | Western | 103653 |
| 914 | 915 | Gibraltar | GIB | – | 27025 |
| 915 | 916 | Saint George´s | GRD | St George | 4621 |
| 916 | 917 | Nuuk | GRL | Kitaa | 13445 |
| 917 | 918 | Les Abymes | GLP | Grande-Terre | 62947 |
| 918 | 919 | Basse-Terre | GLP | Basse-Terre | 12433 |
| 919 | 920 | Tamuning | GUM | – | 9500 |
| 920 | 921 | Agaña | GUM | – | 1139 |
| 921 | 922 | Ciudad de Guatemala | GTM | Guatemala | 823301 |
| 922 | 923 | Mixco | GTM | Guatemala | 209791 |
| 923 | 924 | Villa Nueva | GTM | Guatemala | 101295 |
| 924 | 925 | Quetzaltenango | GTM | Quetzaltenango | 90801 |
| 925 | 926 | Conakry | GIN | Conakry | 1090610 |
| 926 | 927 | Bissau | GNB | Bissau | 241000 |
| 927 | 928 | Georgetown | GUY | Georgetown | 254000 |
| 928 | 929 | Port-au-Prince | HTI | Ouest | 884472 |
| 929 | 930 | Carrefour | HTI | Ouest | 290204 |
| 930 | 931 | Delmas | HTI | Ouest | 240429 |
| 931 | 932 | Le-Cap-Haïtien | HTI | Nord | 102233 |
| 932 | 933 | Tegucigalpa | HND | Distrito Central | 813900 |
| 933 | 934 | San Pedro Sula | HND | Cortés | 383900 |
| 934 | 935 | La Ceiba | HND | Atlántida | 89200 |
| 935 | 936 | Kowloon and New Kowloon | HKG | Kowloon and New Kowl | 1987996 |
| 936 | 937 | Victoria | HKG | Hongkong | 1312637 |
| 937 | 938 | Longyearbyen | SJM | Länsimaa | 1438 |
| 938 | 939 | Jakarta | IDN | Jakarta Raya | 9604900 |
| 939 | 940 | Surabaya | IDN | East Java | 2663820 |
| 940 | 941 | Bandung | IDN | West Java | 2429000 |
| 941 | 942 | Medan | IDN | Sumatera Utara | 1843919 |
| 942 | 943 | Palembang | IDN | Sumatera Selatan | 1222764 |
| 943 | 944 | Tangerang | IDN | West Java | 1198300 |
| 944 | 945 | Semarang | IDN | Central Java | 1104405 |
| 945 | 946 | Ujung Pandang | IDN | Sulawesi Selatan | 1060257 |
| 946 | 947 | Malang | IDN | East Java | 716862 |
| 947 | 948 | Bandar Lampung | IDN | Lampung | 680332 |
| 948 | 949 | Bekasi | IDN | West Java | 644300 |
| 949 | 950 | Padang | IDN | Sumatera Barat | 534474 |
| 950 | 951 | Surakarta | IDN | Central Java | 518600 |
| 951 | 952 | Banjarmasin | IDN | Kalimantan Selatan | 482931 |
| 952 | 953 | Pekan Baru | IDN | Riau | 438638 |
| 953 | 954 | Denpasar | IDN | Bali | 435000 |
| 954 | 955 | Yogyakarta | IDN | Yogyakarta | 418944 |
| 955 | 956 | Pontianak | IDN | Kalimantan Barat | 409632 |
| 956 | 957 | Samarinda | IDN | Kalimantan Timur | 399175 |
| 957 | 958 | Jambi | IDN | Jambi | 385201 |
| 958 | 959 | Depok | IDN | West Java | 365200 |
| 959 | 960 | Cimahi | IDN | West Java | 344600 |
| 960 | 961 | Balikpapan | IDN | Kalimantan Timur | 338752 |
| 961 | 962 | Manado | IDN | Sulawesi Utara | 332288 |
| 962 | 963 | Mataram | IDN | Nusa Tenggara Barat | 306600 |
| 963 | 964 | Pekalongan | IDN | Central Java | 301504 |
| 964 | 965 | Tegal | IDN | Central Java | 289744 |
| 965 | 966 | Bogor | IDN | West Java | 285114 |
| 966 | 967 | Ciputat | IDN | West Java | 270800 |
| 967 | 968 | Pondokgede | IDN | West Java | 263200 |
| 968 | 969 | Cirebon | IDN | West Java | 254406 |
| 969 | 970 | Kediri | IDN | East Java | 253760 |
| 970 | 971 | Ambon | IDN | Molukit | 249312 |
| 971 | 972 | Jember | IDN | East Java | 218500 |
| 972 | 973 | Cilacap | IDN | Central Java | 206900 |
| 973 | 974 | Cimanggis | IDN | West Java | 205100 |
| 974 | 975 | Pematang Siantar | IDN | Sumatera Utara | 203056 |
| 975 | 976 | Purwokerto | IDN | Central Java | 202500 |
| 976 | 977 | Ciomas | IDN | West Java | 187400 |
| 977 | 978 | Tasikmalaya | IDN | West Java | 179800 |
| 978 | 979 | Madiun | IDN | East Java | 171532 |
| 979 | 980 | Bengkulu | IDN | Bengkulu | 146439 |
| 980 | 981 | Karawang | IDN | West Java | 145000 |
| 981 | 982 | Banda Aceh | IDN | Aceh | 143409 |
| 982 | 983 | Palu | IDN | Sulawesi Tengah | 142800 |
| 983 | 984 | Pasuruan | IDN | East Java | 134019 |
| 984 | 985 | Kupang | IDN | Nusa Tenggara Timur | 129300 |
| 985 | 986 | Tebing Tinggi | IDN | Sumatera Utara | 129300 |
| 986 | 987 | Percut Sei Tuan | IDN | Sumatera Utara | 129000 |
| 987 | 988 | Binjai | IDN | Sumatera Utara | 127222 |
| 988 | 989 | Sukabumi | IDN | West Java | 125766 |
| 989 | 990 | Waru | IDN | East Java | 124300 |
| 990 | 991 | Pangkal Pinang | IDN | Sumatera Selatan | 124000 |
| 991 | 992 | Magelang | IDN | Central Java | 123800 |
| 992 | 993 | Blitar | IDN | East Java | 122600 |
| 993 | 994 | Serang | IDN | West Java | 122400 |
| 994 | 995 | Probolinggo | IDN | East Java | 120770 |
| 995 | 996 | Cilegon | IDN | West Java | 117000 |
| 996 | 997 | Cianjur | IDN | West Java | 114300 |
| 997 | 998 | Ciparay | IDN | West Java | 111500 |
| 998 | 999 | Lhokseumawe | IDN | Aceh | 109600 |
| 999 | 1000 | Taman | IDN | East Java | 107000 |
CountryLanguage#
SELECT * FROM countrylanguage;
| CountryCode | Language | IsOfficial | Percentage | |
|---|---|---|---|---|
| 0 | ABW | Dutch | T | 5.3 |
| 1 | ABW | English | F | 9.5 |
| 2 | ABW | Papiamento | F | 76.7 |
| 3 | ABW | Spanish | F | 7.4 |
| 4 | AFG | Balochi | F | 0.9 |
| 5 | AFG | Dari | T | 32.1 |
| 6 | AFG | Pashto | T | 52.4 |
| 7 | AFG | Turkmenian | F | 1.9 |
| 8 | AFG | Uzbek | F | 8.8 |
| 9 | AGO | Ambo | F | 2.4 |
| 10 | AGO | Chokwe | F | 4.2 |
| 11 | AGO | Kongo | F | 13.2 |
| 12 | AGO | Luchazi | F | 2.4 |
| 13 | AGO | Luimbe-nganguela | F | 5.4 |
| 14 | AGO | Luvale | F | 3.6 |
| 15 | AGO | Mbundu | F | 21.6 |
| 16 | AGO | Nyaneka-nkhumbi | F | 5.4 |
| 17 | AGO | Ovimbundu | F | 37.2 |
| 18 | AIA | English | T | 0.0 |
| 19 | ALB | Albaniana | T | 97.9 |
| 20 | ALB | Greek | F | 1.8 |
| 21 | ALB | Macedonian | F | 0.1 |
| 22 | AND | Catalan | T | 32.3 |
| 23 | AND | French | F | 6.2 |
| 24 | AND | Portuguese | F | 10.8 |
| 25 | AND | Spanish | F | 44.6 |
| 26 | ANT | Dutch | T | 0.0 |
| 27 | ANT | English | F | 7.8 |
| 28 | ANT | Papiamento | T | 86.2 |
| 29 | ARE | Arabic | T | 42.0 |
| 30 | ARE | Hindi | F | 0.0 |
| 31 | ARG | Indian Languages | F | 0.3 |
| 32 | ARG | Italian | F | 1.7 |
| 33 | ARG | Spanish | T | 96.8 |
| 34 | ARM | Armenian | T | 93.4 |
| 35 | ARM | Azerbaijani | F | 2.6 |
| 36 | ASM | English | T | 3.1 |
| 37 | ASM | Samoan | T | 90.6 |
| 38 | ASM | Tongan | F | 3.1 |
| 39 | ATG | Creole English | F | 95.7 |
| 40 | ATG | English | T | 0.0 |
| 41 | AUS | Arabic | F | 1.0 |
| 42 | AUS | Canton Chinese | F | 1.1 |
| 43 | AUS | English | T | 81.2 |
| 44 | AUS | German | F | 0.6 |
| 45 | AUS | Greek | F | 1.6 |
| 46 | AUS | Italian | F | 2.2 |
| 47 | AUS | Serbo-Croatian | F | 0.6 |
| 48 | AUS | Vietnamese | F | 0.8 |
| 49 | AUT | Czech | F | 0.2 |
| 50 | AUT | German | T | 92.0 |
| 51 | AUT | Hungarian | F | 0.4 |
| 52 | AUT | Polish | F | 0.2 |
| 53 | AUT | Romanian | F | 0.2 |
| 54 | AUT | Serbo-Croatian | F | 2.2 |
| 55 | AUT | Slovene | F | 0.4 |
| 56 | AUT | Turkish | F | 1.5 |
| 57 | AZE | Armenian | F | 2.0 |
| 58 | AZE | Azerbaijani | T | 89.0 |
| 59 | AZE | Lezgian | F | 2.3 |
| 60 | AZE | Russian | F | 3.0 |
| 61 | BDI | French | T | 0.0 |
| 62 | BDI | Kirundi | T | 98.1 |
| 63 | BDI | Swahili | F | 0.0 |
| 64 | BEL | Arabic | F | 1.6 |
| 65 | BEL | Dutch | T | 59.2 |
| 66 | BEL | French | T | 32.6 |
| 67 | BEL | German | T | 1.0 |
| 68 | BEL | Italian | F | 2.4 |
| 69 | BEL | Turkish | F | 0.9 |
| 70 | BEN | Adja | F | 11.1 |
| 71 | BEN | Aizo | F | 8.7 |
| 72 | BEN | Bariba | F | 8.7 |
| 73 | BEN | Fon | F | 39.8 |
| 74 | BEN | Ful | F | 5.6 |
| 75 | BEN | Joruba | F | 12.2 |
| 76 | BEN | Somba | F | 6.7 |
| 77 | BFA | Busansi | F | 3.5 |
| 78 | BFA | Dagara | F | 3.1 |
| 79 | BFA | Dyula | F | 2.6 |
| 80 | BFA | Ful | F | 9.7 |
| 81 | BFA | Gurma | F | 5.7 |
| 82 | BFA | Mossi | F | 50.2 |
| 83 | BGD | Bengali | T | 97.7 |
| 84 | BGD | Chakma | F | 0.4 |
| 85 | BGD | Garo | F | 0.1 |
| 86 | BGD | Khasi | F | 0.1 |
| 87 | BGD | Marma | F | 0.2 |
| 88 | BGD | Santhali | F | 0.1 |
| 89 | BGD | Tripuri | F | 0.1 |
| 90 | BGR | Bulgariana | T | 83.2 |
| 91 | BGR | Macedonian | F | 2.6 |
| 92 | BGR | Romani | F | 3.7 |
| 93 | BGR | Turkish | F | 9.4 |
| 94 | BHR | Arabic | T | 67.7 |
| 95 | BHR | English | F | 0.0 |
| 96 | BHS | Creole English | F | 89.7 |
| 97 | BHS | Creole French | F | 10.3 |
| 98 | BIH | Serbo-Croatian | T | 99.2 |
| 99 | BLR | Belorussian | T | 65.6 |
| 100 | BLR | Polish | F | 0.6 |
| 101 | BLR | Russian | T | 32.0 |
| 102 | BLR | Ukrainian | F | 1.3 |
| 103 | BLZ | English | T | 50.8 |
| 104 | BLZ | Garifuna | F | 6.8 |
| 105 | BLZ | Maya Languages | F | 9.6 |
| 106 | BLZ | Spanish | F | 31.6 |
| 107 | BMU | English | T | 100.0 |
| 108 | BOL | Aimará | T | 3.2 |
| 109 | BOL | Guaraní | F | 0.1 |
| 110 | BOL | Ketšua | T | 8.1 |
| 111 | BOL | Spanish | T | 87.7 |
| 112 | BRA | German | F | 0.5 |
| 113 | BRA | Indian Languages | F | 0.2 |
| 114 | BRA | Italian | F | 0.4 |
| 115 | BRA | Japanese | F | 0.4 |
| 116 | BRA | Portuguese | T | 97.5 |
| 117 | BRB | Bajan | F | 95.1 |
| 118 | BRB | English | T | 0.0 |
| 119 | BRN | Chinese | F | 9.3 |
| 120 | BRN | English | F | 3.1 |
| 121 | BRN | Malay | T | 45.5 |
| 122 | BRN | Malay-English | F | 28.8 |
| 123 | BTN | Asami | F | 15.2 |
| 124 | BTN | Dzongkha | T | 50.0 |
| 125 | BTN | Nepali | F | 34.8 |
| 126 | BWA | Khoekhoe | F | 2.5 |
| 127 | BWA | Ndebele | F | 1.3 |
| 128 | BWA | San | F | 3.5 |
| 129 | BWA | Shona | F | 12.3 |
| 130 | BWA | Tswana | F | 75.5 |
| 131 | CAF | Banda | F | 23.5 |
| 132 | CAF | Gbaya | F | 23.8 |
| 133 | CAF | Mandjia | F | 14.8 |
| 134 | CAF | Mbum | F | 6.4 |
| 135 | CAF | Ngbaka | F | 7.5 |
| 136 | CAF | Sara | F | 6.4 |
| 137 | CAN | Chinese | F | 2.5 |
| 138 | CAN | Dutch | F | 0.5 |
| 139 | CAN | English | T | 60.4 |
| 140 | CAN | Eskimo Languages | F | 0.1 |
| 141 | CAN | French | T | 23.4 |
| 142 | CAN | German | F | 1.6 |
| 143 | CAN | Italian | F | 1.7 |
| 144 | CAN | Polish | F | 0.7 |
| 145 | CAN | Portuguese | F | 0.7 |
| 146 | CAN | Punjabi | F | 0.7 |
| 147 | CAN | Spanish | F | 0.7 |
| 148 | CAN | Ukrainian | F | 0.6 |
| 149 | CCK | English | T | 0.0 |
| 150 | CCK | Malay | F | 0.0 |
| 151 | CHE | French | T | 19.2 |
| 152 | CHE | German | T | 63.6 |
| 153 | CHE | Italian | T | 7.7 |
| 154 | CHE | Romansh | T | 0.6 |
| 155 | CHL | Aimará | F | 0.5 |
| 156 | CHL | Araucan | F | 9.6 |
| 157 | CHL | Rapa nui | F | 0.2 |
| 158 | CHL | Spanish | T | 89.7 |
| 159 | CHN | Chinese | T | 92.0 |
| 160 | CHN | Dong | F | 0.2 |
| 161 | CHN | Hui | F | 0.8 |
| 162 | CHN | Mantšu | F | 0.9 |
| 163 | CHN | Miao | F | 0.7 |
| 164 | CHN | Mongolian | F | 0.4 |
| 165 | CHN | Puyi | F | 0.2 |
| 166 | CHN | Tibetan | F | 0.4 |
| 167 | CHN | Tujia | F | 0.5 |
| 168 | CHN | Uighur | F | 0.6 |
| 169 | CHN | Yi | F | 0.6 |
| 170 | CHN | Zhuang | F | 1.4 |
| 171 | CIV | [South]Mande | F | 7.7 |
| 172 | CIV | Akan | F | 30.0 |
| 173 | CIV | Gur | F | 11.7 |
| 174 | CIV | Kru | F | 10.5 |
| 175 | CIV | Malinke | F | 11.4 |
| 176 | CMR | Bamileke-bamum | F | 18.6 |
| 177 | CMR | Duala | F | 10.9 |
| 178 | CMR | Fang | F | 19.7 |
| 179 | CMR | Ful | F | 9.6 |
| 180 | CMR | Maka | F | 4.9 |
| 181 | CMR | Mandara | F | 5.7 |
| 182 | CMR | Masana | F | 3.9 |
| 183 | CMR | Tikar | F | 7.4 |
| 184 | COD | Boa | F | 2.3 |
| 185 | COD | Chokwe | F | 1.8 |
| 186 | COD | Kongo | F | 16.0 |
| 187 | COD | Luba | F | 18.0 |
| 188 | COD | Mongo | F | 13.5 |
| 189 | COD | Ngala and Bangi | F | 5.8 |
| 190 | COD | Rundi | F | 3.8 |
| 191 | COD | Rwanda | F | 10.3 |
| 192 | COD | Teke | F | 2.7 |
| 193 | COD | Zande | F | 6.1 |
| 194 | COG | Kongo | F | 51.5 |
| 195 | COG | Mbete | F | 4.8 |
| 196 | COG | Mboshi | F | 11.4 |
| 197 | COG | Punu | F | 2.9 |
| 198 | COG | Sango | F | 2.6 |
| 199 | COG | Teke | F | 17.3 |
| 200 | COK | English | F | 0.0 |
| 201 | COK | Maori | T | 0.0 |
| 202 | COL | Arawakan | F | 0.1 |
| 203 | COL | Caribbean | F | 0.1 |
| 204 | COL | Chibcha | F | 0.4 |
| 205 | COL | Creole English | F | 0.1 |
| 206 | COL | Spanish | T | 99.0 |
| 207 | COM | Comorian | T | 75.0 |
| 208 | COM | Comorian-Arabic | F | 1.6 |
| 209 | COM | Comorian-French | F | 12.9 |
| 210 | COM | Comorian-madagassi | F | 5.5 |
| 211 | COM | Comorian-Swahili | F | 0.5 |
| 212 | CPV | Crioulo | F | 100.0 |
| 213 | CPV | Portuguese | T | 0.0 |
| 214 | CRI | Chibcha | F | 0.3 |
| 215 | CRI | Chinese | F | 0.2 |
| 216 | CRI | Creole English | F | 2.0 |
| 217 | CRI | Spanish | T | 97.5 |
| 218 | CUB | Spanish | T | 100.0 |
| 219 | CXR | Chinese | F | 0.0 |
| 220 | CXR | English | T | 0.0 |
| 221 | CYM | English | T | 0.0 |
| 222 | CYP | Greek | T | 74.1 |
| 223 | CYP | Turkish | T | 22.4 |
| 224 | CZE | Czech | T | 81.2 |
| 225 | CZE | German | F | 0.5 |
| 226 | CZE | Hungarian | F | 0.2 |
| 227 | CZE | Moravian | F | 12.9 |
| 228 | CZE | Polish | F | 0.6 |
| 229 | CZE | Romani | F | 0.3 |
| 230 | CZE | Silesiana | F | 0.4 |
| 231 | CZE | Slovak | F | 3.1 |
| 232 | DEU | German | T | 91.3 |
| 233 | DEU | Greek | F | 0.4 |
| 234 | DEU | Italian | F | 0.7 |
| 235 | DEU | Polish | F | 0.3 |
| 236 | DEU | Southern Slavic Languages | F | 1.4 |
| 237 | DEU | Turkish | F | 2.6 |
| 238 | DJI | Afar | F | 34.8 |
| 239 | DJI | Arabic | T | 10.6 |
| 240 | DJI | Somali | F | 43.9 |
| 241 | DMA | Creole English | F | 100.0 |
| 242 | DMA | Creole French | F | 0.0 |
| 243 | DNK | Arabic | F | 0.7 |
| 244 | DNK | Danish | T | 93.5 |
| 245 | DNK | English | F | 0.3 |
| 246 | DNK | German | F | 0.5 |
| 247 | DNK | Norwegian | F | 0.3 |
| 248 | DNK | Swedish | F | 0.3 |
| 249 | DNK | Turkish | F | 0.8 |
| 250 | DOM | Creole French | F | 2.0 |
| 251 | DOM | Spanish | T | 98.0 |
| 252 | DZA | Arabic | T | 86.0 |
| 253 | DZA | Berberi | F | 14.0 |
| 254 | ECU | Ketšua | F | 7.0 |
| 255 | ECU | Spanish | T | 93.0 |
| 256 | EGY | Arabic | T | 98.8 |
| 257 | EGY | Sinaberberi | F | 0.0 |
| 258 | ERI | Afar | F | 4.3 |
| 259 | ERI | Bilin | F | 3.0 |
| 260 | ERI | Hadareb | F | 3.8 |
| 261 | ERI | Saho | F | 3.0 |
| 262 | ERI | Tigre | F | 31.7 |
| 263 | ERI | Tigrinja | T | 49.1 |
| 264 | ESH | Arabic | T | 100.0 |
| 265 | ESP | Basque | F | 1.6 |
| 266 | ESP | Catalan | F | 16.9 |
| 267 | ESP | Galecian | F | 6.4 |
| 268 | ESP | Spanish | T | 74.4 |
| 269 | EST | Belorussian | F | 1.4 |
| 270 | EST | Estonian | T | 65.3 |
| 271 | EST | Finnish | F | 0.7 |
| 272 | EST | Russian | F | 27.8 |
| 273 | EST | Ukrainian | F | 2.8 |
| 274 | ETH | Amhara | F | 30.0 |
| 275 | ETH | Gurage | F | 4.7 |
| 276 | ETH | Oromo | F | 31.0 |
| 277 | ETH | Sidamo | F | 3.2 |
| 278 | ETH | Somali | F | 4.1 |
| 279 | ETH | Tigrinja | F | 7.2 |
| 280 | ETH | Walaita | F | 2.8 |
| 281 | FIN | Estonian | F | 0.2 |
| 282 | FIN | Finnish | T | 92.7 |
| 283 | FIN | Russian | F | 0.4 |
| 284 | FIN | Saame | F | 0.0 |
| 285 | FIN | Swedish | T | 5.7 |
| 286 | FJI | Fijian | T | 50.8 |
| 287 | FJI | Hindi | F | 43.7 |
| 288 | FLK | English | T | 0.0 |
| 289 | FRA | Arabic | F | 2.5 |
| 290 | FRA | French | T | 93.6 |
| 291 | FRA | Italian | F | 0.4 |
| 292 | FRA | Portuguese | F | 1.2 |
| 293 | FRA | Spanish | F | 0.4 |
| 294 | FRA | Turkish | F | 0.4 |
| 295 | FRO | Danish | T | 0.0 |
| 296 | FRO | Faroese | T | 100.0 |
| 297 | FSM | Kosrean | F | 7.3 |
| 298 | FSM | Mortlock | F | 7.6 |
| 299 | FSM | Pohnpei | F | 23.8 |
| 300 | FSM | Trukese | F | 41.6 |
| 301 | FSM | Wolea | F | 3.7 |
| 302 | FSM | Yap | F | 5.8 |
| 303 | GAB | Fang | F | 35.8 |
| 304 | GAB | Mbete | F | 13.8 |
| 305 | GAB | Mpongwe | F | 14.6 |
| 306 | GAB | Punu-sira-nzebi | F | 17.1 |
| 307 | GBR | English | T | 97.3 |
| 308 | GBR | Gaeli | F | 0.1 |
| 309 | GBR | Kymri | F | 0.9 |
| 310 | GEO | Abhyasi | F | 1.7 |
| 311 | GEO | Armenian | F | 6.8 |
| 312 | GEO | Azerbaijani | F | 5.5 |
| 313 | GEO | Georgiana | T | 71.7 |
| 314 | GEO | Osseetti | F | 2.4 |
| 315 | GEO | Russian | F | 8.8 |
| 316 | GHA | Akan | F | 52.4 |
| 317 | GHA | Ewe | F | 11.9 |
| 318 | GHA | Ga-adangme | F | 7.8 |
| 319 | GHA | Gurma | F | 3.3 |
| 320 | GHA | Joruba | F | 1.3 |
| 321 | GHA | Mossi | F | 15.8 |
| 322 | GIB | Arabic | F | 7.4 |
| 323 | GIB | English | T | 88.9 |
| 324 | GIN | Ful | F | 38.6 |
| 325 | GIN | Kissi | F | 6.0 |
| 326 | GIN | Kpelle | F | 4.6 |
| 327 | GIN | Loma | F | 2.3 |
| 328 | GIN | Malinke | F | 23.2 |
| 329 | GIN | Susu | F | 11.0 |
| 330 | GIN | Yalunka | F | 2.9 |
| 331 | GLP | Creole French | F | 95.0 |
| 332 | GLP | French | T | 0.0 |
| 333 | GMB | Diola | F | 9.2 |
| 334 | GMB | Ful | F | 16.2 |
| 335 | GMB | Malinke | F | 34.1 |
| 336 | GMB | Soninke | F | 7.6 |
| 337 | GMB | Wolof | F | 12.6 |
| 338 | GNB | Balante | F | 14.6 |
| 339 | GNB | Crioulo | F | 36.4 |
| 340 | GNB | Ful | F | 16.6 |
| 341 | GNB | Malinke | F | 6.9 |
| 342 | GNB | Mandyako | F | 4.9 |
| 343 | GNB | Portuguese | T | 8.1 |
| 344 | GNQ | Bubi | F | 8.7 |
| 345 | GNQ | Fang | F | 84.8 |
| 346 | GRC | Greek | T | 98.5 |
| 347 | GRC | Turkish | F | 0.9 |
| 348 | GRD | Creole English | F | 100.0 |
| 349 | GRL | Danish | T | 12.5 |
| 350 | GRL | Greenlandic | T | 87.5 |
| 351 | GTM | Cakchiquel | F | 8.9 |
| 352 | GTM | Kekchí | F | 4.9 |
| 353 | GTM | Mam | F | 2.7 |
| 354 | GTM | Quiché | F | 10.1 |
| 355 | GTM | Spanish | T | 64.7 |
| 356 | GUF | Creole French | F | 94.3 |
| 357 | GUF | Indian Languages | F | 1.9 |
| 358 | GUM | Chamorro | T | 29.6 |
| 359 | GUM | English | T | 37.5 |
| 360 | GUM | Japanese | F | 2.0 |
| 361 | GUM | Korean | F | 3.3 |
| 362 | GUM | Philippene Languages | F | 19.7 |
| 363 | GUY | Arawakan | F | 1.4 |
| 364 | GUY | Caribbean | F | 2.2 |
| 365 | GUY | Creole English | F | 96.4 |
| 366 | HKG | Canton Chinese | F | 88.7 |
| 367 | HKG | Chiu chau | F | 1.4 |
| 368 | HKG | English | T | 2.2 |
| 369 | HKG | Fukien | F | 1.9 |
| 370 | HKG | Hakka | F | 1.6 |
| 371 | HND | Creole English | F | 0.2 |
| 372 | HND | Garifuna | F | 1.3 |
| 373 | HND | Miskito | F | 0.2 |
| 374 | HND | Spanish | T | 97.2 |
| 375 | HRV | Serbo-Croatian | T | 95.9 |
| 376 | HRV | Slovene | F | 0.0 |
| 377 | HTI | French | T | 0.0 |
| 378 | HTI | Haiti Creole | F | 100.0 |
| 379 | HUN | German | F | 0.4 |
| 380 | HUN | Hungarian | T | 98.5 |
| 381 | HUN | Romani | F | 0.5 |
| 382 | HUN | Romanian | F | 0.1 |
| 383 | HUN | Serbo-Croatian | F | 0.2 |
| 384 | HUN | Slovak | F | 0.1 |
| 385 | IDN | Bali | F | 1.7 |
| 386 | IDN | Banja | F | 1.8 |
| 387 | IDN | Batakki | F | 2.2 |
| 388 | IDN | Bugi | F | 2.2 |
| 389 | IDN | Javanese | F | 39.4 |
| 390 | IDN | Madura | F | 4.3 |
| 391 | IDN | Malay | T | 12.1 |
| 392 | IDN | Minangkabau | F | 2.4 |
| 393 | IDN | Sunda | F | 15.8 |
| 394 | IND | Asami | F | 1.5 |
| 395 | IND | Bengali | F | 8.2 |
| 396 | IND | Gujarati | F | 4.8 |
| 397 | IND | Hindi | T | 39.9 |
| 398 | IND | Kannada | F | 3.9 |
| 399 | IND | Malajalam | F | 3.6 |
| 400 | IND | Marathi | F | 7.4 |
| 401 | IND | Orija | F | 3.3 |
| 402 | IND | Punjabi | F | 2.8 |
| 403 | IND | Tamil | F | 6.3 |
| 404 | IND | Telugu | F | 7.8 |
| 405 | IND | Urdu | F | 5.1 |
| 406 | IRL | English | T | 98.4 |
| 407 | IRL | Irish | T | 1.6 |
| 408 | IRN | Arabic | F | 2.2 |
| 409 | IRN | Azerbaijani | F | 16.8 |
| 410 | IRN | Bakhtyari | F | 1.7 |
| 411 | IRN | Balochi | F | 2.3 |
| 412 | IRN | Gilaki | F | 5.3 |
| 413 | IRN | Kurdish | F | 9.1 |
| 414 | IRN | Luri | F | 4.3 |
| 415 | IRN | Mazandarani | F | 3.6 |
| 416 | IRN | Persian | T | 45.7 |
| 417 | IRN | Turkmenian | F | 1.6 |
| 418 | IRQ | Arabic | T | 77.2 |
| 419 | IRQ | Assyrian | F | 0.8 |
| 420 | IRQ | Azerbaijani | F | 1.7 |
| 421 | IRQ | Kurdish | F | 19.0 |
| 422 | IRQ | Persian | F | 0.8 |
| 423 | ISL | English | F | 0.0 |
| 424 | ISL | Icelandic | T | 95.7 |
| 425 | ISR | Arabic | T | 18.0 |
| 426 | ISR | Hebrew | T | 63.1 |
| 427 | ISR | Russian | F | 8.9 |
| 428 | ITA | Albaniana | F | 0.2 |
| 429 | ITA | French | F | 0.5 |
| 430 | ITA | Friuli | F | 1.2 |
| 431 | ITA | German | F | 0.5 |
| 432 | ITA | Italian | T | 94.1 |
| 433 | ITA | Romani | F | 0.2 |
| 434 | ITA | Sardinian | F | 2.7 |
| 435 | ITA | Slovene | F | 0.2 |
| 436 | JAM | Creole English | F | 94.2 |
| 437 | JAM | Hindi | F | 1.9 |
| 438 | JOR | Arabic | T | 97.9 |
| 439 | JOR | Armenian | F | 1.0 |
| 440 | JOR | Circassian | F | 1.0 |
| 441 | JPN | Ainu | F | 0.0 |
| 442 | JPN | Chinese | F | 0.2 |
| 443 | JPN | English | F | 0.1 |
| 444 | JPN | Japanese | T | 99.1 |
| 445 | JPN | Korean | F | 0.5 |
| 446 | JPN | Philippene Languages | F | 0.1 |
| 447 | KAZ | German | F | 3.1 |
| 448 | KAZ | Kazakh | T | 46.0 |
| 449 | KAZ | Russian | F | 34.7 |
| 450 | KAZ | Tatar | F | 2.0 |
| 451 | KAZ | Ukrainian | F | 5.0 |
| 452 | KAZ | Uzbek | F | 2.3 |
| 453 | KEN | Gusii | F | 6.1 |
| 454 | KEN | Kalenjin | F | 10.8 |
| 455 | KEN | Kamba | F | 11.2 |
| 456 | KEN | Kikuyu | F | 20.9 |
| 457 | KEN | Luhya | F | 13.8 |
| 458 | KEN | Luo | F | 12.8 |
| 459 | KEN | Masai | F | 1.6 |
| 460 | KEN | Meru | F | 5.5 |
| 461 | KEN | Nyika | F | 4.8 |
| 462 | KEN | Turkana | F | 1.4 |
| 463 | KGZ | Kazakh | F | 0.8 |
| 464 | KGZ | Kirgiz | T | 59.7 |
| 465 | KGZ | Russian | T | 16.2 |
| 466 | KGZ | Tadzhik | F | 0.8 |
| 467 | KGZ | Tatar | F | 1.3 |
| 468 | KGZ | Ukrainian | F | 1.7 |
| 469 | KGZ | Uzbek | F | 14.1 |
| 470 | KHM | Chinese | F | 3.1 |
| 471 | KHM | Khmer | T | 88.6 |
| 472 | KHM | Tšam | F | 2.4 |
| 473 | KHM | Vietnamese | F | 5.5 |
| 474 | KIR | Kiribati | T | 98.9 |
| 475 | KIR | Tuvalu | F | 0.5 |
| 476 | KNA | Creole English | F | 100.0 |
| 477 | KNA | English | T | 0.0 |
| 478 | KOR | Chinese | F | 0.1 |
| 479 | KOR | Korean | T | 99.9 |
| 480 | KWT | Arabic | T | 78.1 |
| 481 | KWT | English | F | 0.0 |
| 482 | LAO | Lao | T | 67.2 |
| 483 | LAO | Lao-Soung | F | 5.2 |
| 484 | LAO | Mon-khmer | F | 16.5 |
| 485 | LAO | Thai | F | 7.8 |
| 486 | LBN | Arabic | T | 93.0 |
| 487 | LBN | Armenian | F | 5.9 |
| 488 | LBN | French | F | 0.0 |
| 489 | LBR | Bassa | F | 13.7 |
| 490 | LBR | Gio | F | 7.9 |
| 491 | LBR | Grebo | F | 8.9 |
| 492 | LBR | Kpelle | F | 19.5 |
| 493 | LBR | Kru | F | 7.2 |
| 494 | LBR | Loma | F | 5.8 |
| 495 | LBR | Malinke | F | 5.1 |
| 496 | LBR | Mano | F | 7.2 |
| 497 | LBY | Arabic | T | 96.0 |
| 498 | LBY | Berberi | F | 1.0 |
| 499 | LCA | Creole French | F | 80.0 |
| 500 | LCA | English | T | 20.0 |
| 501 | LIE | German | T | 89.0 |
| 502 | LIE | Italian | F | 2.5 |
| 503 | LIE | Turkish | F | 2.5 |
| 504 | LKA | Mixed Languages | F | 19.6 |
| 505 | LKA | Singali | T | 60.3 |
| 506 | LKA | Tamil | T | 19.6 |
| 507 | LSO | English | T | 0.0 |
| 508 | LSO | Sotho | T | 85.0 |
| 509 | LSO | Zulu | F | 15.0 |
| 510 | LTU | Belorussian | F | 1.4 |
| 511 | LTU | Lithuanian | T | 81.6 |
| 512 | LTU | Polish | F | 7.0 |
| 513 | LTU | Russian | F | 8.1 |
| 514 | LTU | Ukrainian | F | 1.1 |
| 515 | LUX | French | T | 4.2 |
| 516 | LUX | German | T | 2.3 |
| 517 | LUX | Italian | F | 4.6 |
| 518 | LUX | Luxembourgish | T | 64.4 |
| 519 | LUX | Portuguese | F | 13.0 |
| 520 | LVA | Belorussian | F | 4.1 |
| 521 | LVA | Latvian | T | 55.1 |
| 522 | LVA | Lithuanian | F | 1.2 |
| 523 | LVA | Polish | F | 2.1 |
| 524 | LVA | Russian | F | 32.5 |
| 525 | LVA | Ukrainian | F | 2.9 |
| 526 | MAC | Canton Chinese | F | 85.6 |
| 527 | MAC | English | F | 0.5 |
| 528 | MAC | Mandarin Chinese | F | 1.2 |
| 529 | MAC | Portuguese | T | 2.3 |
| 530 | MAR | Arabic | T | 65.0 |
| 531 | MAR | Berberi | F | 33.0 |
| 532 | MCO | English | F | 6.5 |
| 533 | MCO | French | T | 41.9 |
| 534 | MCO | Italian | F | 16.1 |
| 535 | MCO | Monegasque | F | 16.1 |
| 536 | MDA | Bulgariana | F | 1.6 |
| 537 | MDA | Gagauzi | F | 3.2 |
| 538 | MDA | Romanian | T | 61.9 |
| 539 | MDA | Russian | F | 23.2 |
| 540 | MDA | Ukrainian | F | 8.6 |
| 541 | MDG | French | T | 0.0 |
| 542 | MDG | Malagasy | T | 98.9 |
| 543 | MDV | Dhivehi | T | 100.0 |
| 544 | MDV | English | F | 0.0 |
| 545 | MEX | Mixtec | F | 0.6 |
| 546 | MEX | Náhuatl | F | 1.8 |
| 547 | MEX | Otomí | F | 0.4 |
| 548 | MEX | Spanish | T | 92.1 |
| 549 | MEX | Yucatec | F | 1.1 |
| 550 | MEX | Zapotec | F | 0.6 |
| 551 | MHL | English | T | 0.0 |
| 552 | MHL | Marshallese | T | 96.8 |
| 553 | MKD | Albaniana | F | 22.9 |
| 554 | MKD | Macedonian | T | 66.5 |
| 555 | MKD | Romani | F | 2.3 |
| 556 | MKD | Serbo-Croatian | F | 2.0 |
| 557 | MKD | Turkish | F | 4.0 |
| 558 | MLI | Bambara | F | 31.8 |
| 559 | MLI | Ful | F | 13.9 |
| 560 | MLI | Senufo and Minianka | F | 12.0 |
| 561 | MLI | Songhai | F | 6.9 |
| 562 | MLI | Soninke | F | 8.7 |
| 563 | MLI | Tamashek | F | 7.3 |
| 564 | MLT | English | T | 2.1 |
| 565 | MLT | Maltese | T | 95.8 |
| 566 | MMR | Burmese | T | 69.0 |
| 567 | MMR | Chin | F | 2.2 |
| 568 | MMR | Kachin | F | 1.4 |
| 569 | MMR | Karen | F | 6.2 |
| 570 | MMR | Kayah | F | 0.4 |
| 571 | MMR | Mon | F | 2.4 |
| 572 | MMR | Rakhine | F | 4.5 |
| 573 | MMR | Shan | F | 8.5 |
| 574 | MNG | Bajad | F | 1.9 |
| 575 | MNG | Buryat | F | 1.7 |
| 576 | MNG | Dariganga | F | 1.4 |
| 577 | MNG | Dorbet | F | 2.7 |
| 578 | MNG | Kazakh | F | 5.9 |
| 579 | MNG | Mongolian | T | 78.8 |
| 580 | MNP | Carolinian | F | 4.8 |
| 581 | MNP | Chamorro | F | 30.0 |
| 582 | MNP | Chinese | F | 7.1 |
| 583 | MNP | English | T | 4.8 |
| 584 | MNP | Korean | F | 6.5 |
| 585 | MNP | Philippene Languages | F | 34.1 |
| 586 | MOZ | Chuabo | F | 5.7 |
| 587 | MOZ | Lomwe | F | 7.8 |
| 588 | MOZ | Makua | F | 27.8 |
| 589 | MOZ | Marendje | F | 3.5 |
| 590 | MOZ | Nyanja | F | 3.3 |
| 591 | MOZ | Ronga | F | 3.7 |
| 592 | MOZ | Sena | F | 9.4 |
| 593 | MOZ | Shona | F | 6.5 |
| 594 | MOZ | Tsonga | F | 12.4 |
| 595 | MOZ | Tswa | F | 6.0 |
| 596 | MRT | Ful | F | 1.2 |
| 597 | MRT | Hassaniya | F | 81.7 |
| 598 | MRT | Soninke | F | 2.7 |
| 599 | MRT | Tukulor | F | 5.4 |
| 600 | MRT | Wolof | F | 6.6 |
| 601 | MRT | Zenaga | F | 1.2 |
| 602 | MSR | English | T | 0.0 |
| 603 | MTQ | Creole French | F | 96.6 |
| 604 | MTQ | French | T | 0.0 |
| 605 | MUS | Bhojpuri | F | 21.1 |
| 606 | MUS | Creole French | F | 70.6 |
| 607 | MUS | French | F | 3.4 |
| 608 | MUS | Hindi | F | 1.2 |
| 609 | MUS | Marathi | F | 0.7 |
| 610 | MUS | Tamil | F | 0.8 |
| 611 | MWI | Chichewa | T | 58.3 |
| 612 | MWI | Lomwe | F | 18.4 |
| 613 | MWI | Ngoni | F | 6.7 |
| 614 | MWI | Yao | F | 13.2 |
| 615 | MYS | Chinese | F | 9.0 |
| 616 | MYS | Dusun | F | 1.1 |
| 617 | MYS | English | F | 1.6 |
| 618 | MYS | Iban | F | 2.8 |
| 619 | MYS | Malay | T | 58.4 |
| 620 | MYS | Tamil | F | 3.9 |
| 621 | MYT | French | T | 20.3 |
| 622 | MYT | Mahoré | F | 41.9 |
| 623 | MYT | Malagasy | F | 16.1 |
| 624 | NAM | Afrikaans | F | 9.5 |
| 625 | NAM | Caprivi | F | 4.7 |
| 626 | NAM | German | F | 0.9 |
| 627 | NAM | Herero | F | 8.0 |
| 628 | NAM | Kavango | F | 9.7 |
| 629 | NAM | Nama | F | 12.4 |
| 630 | NAM | Ovambo | F | 50.7 |
| 631 | NAM | San | F | 1.9 |
| 632 | NCL | French | T | 34.3 |
| 633 | NCL | Malenasian Languages | F | 45.4 |
| 634 | NCL | Polynesian Languages | F | 11.6 |
| 635 | NER | Ful | F | 9.7 |
| 636 | NER | Hausa | F | 53.1 |
| 637 | NER | Kanuri | F | 4.4 |
| 638 | NER | Songhai-zerma | F | 21.2 |
| 639 | NER | Tamashek | F | 10.4 |
| 640 | NFK | English | T | 0.0 |
| 641 | NGA | Bura | F | 1.6 |
| 642 | NGA | Edo | F | 3.3 |
| 643 | NGA | Ful | F | 11.3 |
| 644 | NGA | Hausa | F | 21.1 |
| 645 | NGA | Ibibio | F | 5.6 |
| 646 | NGA | Ibo | F | 18.1 |
| 647 | NGA | Ijo | F | 1.8 |
| 648 | NGA | Joruba | F | 21.4 |
| 649 | NGA | Kanuri | F | 4.1 |
| 650 | NGA | Tiv | F | 2.3 |
| 651 | NIC | Creole English | F | 0.5 |
| 652 | NIC | Miskito | F | 1.6 |
| 653 | NIC | Spanish | T | 97.6 |
| 654 | NIC | Sumo | F | 0.2 |
| 655 | NIU | English | T | 0.0 |
| 656 | NIU | Niue | F | 0.0 |
| 657 | NLD | Arabic | F | 0.9 |
| 658 | NLD | Dutch | T | 95.6 |
| 659 | NLD | Fries | F | 3.7 |
| 660 | NLD | Turkish | F | 0.8 |
| 661 | NOR | Danish | F | 0.4 |
| 662 | NOR | English | F | 0.5 |
| 663 | NOR | Norwegian | T | 96.6 |
| 664 | NOR | Saame | F | 0.0 |
| 665 | NOR | Swedish | F | 0.3 |
| 666 | NPL | Bhojpuri | F | 7.5 |
| 667 | NPL | Hindi | F | 3.0 |
| 668 | NPL | Maithili | F | 11.9 |
| 669 | NPL | Nepali | T | 50.4 |
| 670 | NPL | Newari | F | 3.7 |
| 671 | NPL | Tamang | F | 4.9 |
| 672 | NPL | Tharu | F | 5.4 |
| 673 | NRU | Chinese | F | 8.5 |
| 674 | NRU | English | T | 7.5 |
| 675 | NRU | Kiribati | F | 17.9 |
| 676 | NRU | Nauru | T | 57.5 |
| 677 | NRU | Tuvalu | F | 8.5 |
| 678 | NZL | English | T | 87.0 |
| 679 | NZL | Maori | F | 4.3 |
| 680 | OMN | Arabic | T | 76.7 |
| 681 | OMN | Balochi | F | 0.0 |
| 682 | PAK | Balochi | F | 3.0 |
| 683 | PAK | Brahui | F | 1.2 |
| 684 | PAK | Hindko | F | 2.4 |
| 685 | PAK | Pashto | F | 13.1 |
| 686 | PAK | Punjabi | F | 48.2 |
| 687 | PAK | Saraiki | F | 9.8 |
| 688 | PAK | Sindhi | F | 11.8 |
| 689 | PAK | Urdu | T | 7.6 |
| 690 | PAN | Arabic | F | 0.6 |
| 691 | PAN | Creole English | F | 14.0 |
| 692 | PAN | Cuna | F | 2.0 |
| 693 | PAN | Embera | F | 0.6 |
| 694 | PAN | Guaymí | F | 5.3 |
| 695 | PAN | Spanish | T | 76.8 |
| 696 | PCN | Pitcairnese | F | 0.0 |
| 697 | PER | Aimará | T | 2.3 |
| 698 | PER | Ketšua | T | 16.4 |
| 699 | PER | Spanish | T | 79.8 |
| 700 | PHL | Bicol | F | 5.7 |
| 701 | PHL | Cebuano | F | 23.3 |
| 702 | PHL | Hiligaynon | F | 9.1 |
| 703 | PHL | Ilocano | F | 9.3 |
| 704 | PHL | Maguindanao | F | 1.4 |
| 705 | PHL | Maranao | F | 1.3 |
| 706 | PHL | Pampango | F | 3.0 |
| 707 | PHL | Pangasinan | F | 1.8 |
| 708 | PHL | Pilipino | T | 29.3 |
| 709 | PHL | Waray-waray | F | 3.8 |
| 710 | PLW | Chinese | F | 1.6 |
| 711 | PLW | English | T | 3.2 |
| 712 | PLW | Palau | T | 82.2 |
| 713 | PLW | Philippene Languages | F | 9.2 |
| 714 | PNG | Malenasian Languages | F | 20.0 |
| 715 | PNG | Papuan Languages | F | 78.1 |
| 716 | POL | Belorussian | F | 0.5 |
| 717 | POL | German | F | 1.3 |
| 718 | POL | Polish | T | 97.6 |
| 719 | POL | Ukrainian | F | 0.6 |
| 720 | PRI | English | F | 47.4 |
| 721 | PRI | Spanish | T | 51.3 |
| 722 | PRK | Chinese | F | 0.1 |
| 723 | PRK | Korean | T | 99.9 |
| 724 | PRT | Portuguese | T | 99.0 |
| 725 | PRY | German | F | 0.9 |
| 726 | PRY | Guaraní | T | 40.1 |
| 727 | PRY | Portuguese | F | 3.2 |
| 728 | PRY | Spanish | T | 55.1 |
| 729 | PSE | Arabic | F | 95.9 |
| 730 | PSE | Hebrew | F | 4.1 |
| 731 | PYF | Chinese | F | 2.9 |
| 732 | PYF | French | T | 40.8 |
| 733 | PYF | Tahitian | F | 46.4 |
| 734 | QAT | Arabic | T | 40.7 |
| 735 | QAT | Urdu | F | 0.0 |
| 736 | REU | Chinese | F | 2.8 |
| 737 | REU | Comorian | F | 2.8 |
| 738 | REU | Creole French | F | 91.5 |
| 739 | REU | Malagasy | F | 1.4 |
| 740 | REU | Tamil | F | 0.0 |
| 741 | ROM | German | F | 0.4 |
| 742 | ROM | Hungarian | F | 7.2 |
| 743 | ROM | Romani | T | 0.7 |
| 744 | ROM | Romanian | T | 90.7 |
| 745 | ROM | Serbo-Croatian | F | 0.1 |
| 746 | ROM | Ukrainian | F | 0.3 |
| 747 | RUS | Avarian | F | 0.4 |
| 748 | RUS | Bashkir | F | 0.7 |
| 749 | RUS | Belorussian | F | 0.3 |
| 750 | RUS | Chechen | F | 0.6 |
| 751 | RUS | Chuvash | F | 0.9 |
| 752 | RUS | Kazakh | F | 0.4 |
| 753 | RUS | Mari | F | 0.4 |
| 754 | RUS | Mordva | F | 0.5 |
| 755 | RUS | Russian | T | 86.6 |
| 756 | RUS | Tatar | F | 3.2 |
| 757 | RUS | Udmur | F | 0.3 |
| 758 | RUS | Ukrainian | F | 1.3 |
| 759 | RWA | French | T | 0.0 |
| 760 | RWA | Rwanda | T | 100.0 |
| 761 | SAU | Arabic | T | 95.0 |
| 762 | SDN | Arabic | T | 49.4 |
| 763 | SDN | Bari | F | 2.5 |
| 764 | SDN | Beja | F | 6.4 |
| 765 | SDN | Chilluk | F | 1.7 |
| 766 | SDN | Dinka | F | 11.5 |
| 767 | SDN | Fur | F | 2.1 |
| 768 | SDN | Lotuko | F | 1.5 |
| 769 | SDN | Nubian Languages | F | 8.1 |
| 770 | SDN | Nuer | F | 4.9 |
| 771 | SDN | Zande | F | 2.7 |
| 772 | SEN | Diola | F | 5.0 |
| 773 | SEN | Ful | F | 21.7 |
| 774 | SEN | Malinke | F | 3.8 |
| 775 | SEN | Serer | F | 12.5 |
| 776 | SEN | Soninke | F | 1.3 |
| 777 | SEN | Wolof | T | 48.1 |
| 778 | SGP | Chinese | T | 77.1 |
| 779 | SGP | Malay | T | 14.1 |
| 780 | SGP | Tamil | T | 7.4 |
| 781 | SHN | English | T | 0.0 |
| 782 | SJM | Norwegian | T | 0.0 |
| 783 | SJM | Russian | F | 0.0 |
| 784 | SLB | Malenasian Languages | F | 85.6 |
| 785 | SLB | Papuan Languages | F | 8.6 |
| 786 | SLB | Polynesian Languages | F | 3.8 |
| 787 | SLE | Bullom-sherbro | F | 3.8 |
| 788 | SLE | Ful | F | 3.8 |
| 789 | SLE | Kono-vai | F | 5.1 |
| 790 | SLE | Kuranko | F | 3.4 |
| 791 | SLE | Limba | F | 8.3 |
| 792 | SLE | Mende | F | 34.8 |
| 793 | SLE | Temne | F | 31.8 |
| 794 | SLE | Yalunka | F | 3.4 |
| 795 | SLV | Nahua | F | 0.0 |
| 796 | SLV | Spanish | T | 100.0 |
| 797 | SMR | Italian | T | 100.0 |
| 798 | SOM | Arabic | T | 0.0 |
| 799 | SOM | Somali | T | 98.3 |
| 800 | SPM | French | T | 0.0 |
| 801 | STP | Crioulo | F | 86.3 |
| 802 | STP | French | F | 0.7 |
| 803 | SUR | Hindi | F | 0.0 |
| 804 | SUR | Sranantonga | F | 81.0 |
| 805 | SVK | Czech and Moravian | F | 1.1 |
| 806 | SVK | Hungarian | F | 10.5 |
| 807 | SVK | Romani | F | 1.7 |
| 808 | SVK | Slovak | T | 85.6 |
| 809 | SVK | Ukrainian and Russian | F | 0.6 |
| 810 | SVN | Hungarian | F | 0.5 |
| 811 | SVN | Serbo-Croatian | F | 7.9 |
| 812 | SVN | Slovene | T | 87.9 |
| 813 | SWE | Arabic | F | 0.8 |
| 814 | SWE | Finnish | F | 2.4 |
| 815 | SWE | Norwegian | F | 0.5 |
| 816 | SWE | Southern Slavic Languages | F | 1.3 |
| 817 | SWE | Spanish | F | 0.6 |
| 818 | SWE | Swedish | T | 89.5 |
| 819 | SWZ | Swazi | T | 89.9 |
| 820 | SWZ | Zulu | F | 2.0 |
| 821 | SYC | English | T | 3.8 |
| 822 | SYC | French | T | 1.3 |
| 823 | SYC | Seselwa | F | 91.3 |
| 824 | SYR | Arabic | T | 90.0 |
| 825 | SYR | Kurdish | F | 9.0 |
| 826 | TCA | English | T | 0.0 |
| 827 | TCD | Arabic | T | 12.3 |
| 828 | TCD | Gorane | F | 6.2 |
| 829 | TCD | Hadjarai | F | 6.7 |
| 830 | TCD | Kanem-bornu | F | 9.0 |
| 831 | TCD | Mayo-kebbi | F | 11.5 |
| 832 | TCD | Ouaddai | F | 8.7 |
| 833 | TCD | Sara | F | 27.7 |
| 834 | TCD | Tandjile | F | 6.5 |
| 835 | TGO | Ane | F | 5.7 |
| 836 | TGO | Ewe | T | 23.2 |
| 837 | TGO | Gurma | F | 3.4 |
| 838 | TGO | Kabyé | T | 13.8 |
| 839 | TGO | Kotokoli | F | 5.7 |
| 840 | TGO | Moba | F | 5.4 |
| 841 | TGO | Naudemba | F | 4.1 |
| 842 | TGO | Watyi | F | 10.3 |
| 843 | THA | Chinese | F | 12.1 |
| 844 | THA | Khmer | F | 1.3 |
| 845 | THA | Kuy | F | 1.1 |
| 846 | THA | Lao | F | 26.9 |
| 847 | THA | Malay | F | 3.6 |
| 848 | THA | Thai | T | 52.6 |
| 849 | TJK | Russian | F | 9.7 |
| 850 | TJK | Tadzhik | T | 62.2 |
| 851 | TJK | Uzbek | F | 23.2 |
| 852 | TKL | English | T | 0.0 |
| 853 | TKL | Tokelau | F | 0.0 |
| 854 | TKM | Kazakh | F | 2.0 |
| 855 | TKM | Russian | F | 6.7 |
| 856 | TKM | Turkmenian | T | 76.7 |
| 857 | TKM | Uzbek | F | 9.2 |
| 858 | TMP | Portuguese | T | 0.0 |
| 859 | TMP | Sunda | F | 0.0 |
| 860 | TON | English | T | 0.0 |
| 861 | TON | Tongan | T | 98.3 |
| 862 | TTO | Creole English | F | 2.9 |
| 863 | TTO | English | F | 93.5 |
| 864 | TTO | Hindi | F | 3.4 |
| 865 | TUN | Arabic | T | 69.9 |
| 866 | TUN | Arabic-French | F | 26.3 |
| 867 | TUN | Arabic-French-English | F | 3.2 |
| 868 | TUR | Arabic | F | 1.4 |
| 869 | TUR | Kurdish | F | 10.6 |
| 870 | TUR | Turkish | T | 87.6 |
| 871 | TUV | English | T | 0.0 |
| 872 | TUV | Kiribati | F | 7.5 |
| 873 | TUV | Tuvalu | T | 92.5 |
| 874 | TWN | Ami | F | 0.6 |
| 875 | TWN | Atayal | F | 0.4 |
| 876 | TWN | Hakka | F | 11.0 |
| 877 | TWN | Mandarin Chinese | T | 20.1 |
| 878 | TWN | Min | F | 66.7 |
| 879 | TWN | Paiwan | F | 0.3 |
| 880 | TZA | Chaga and Pare | F | 4.9 |
| 881 | TZA | Gogo | F | 3.9 |
| 882 | TZA | Ha | F | 3.5 |
| 883 | TZA | Haya | F | 5.9 |
| 884 | TZA | Hehet | F | 6.9 |
| 885 | TZA | Luguru | F | 4.9 |
| 886 | TZA | Makonde | F | 5.9 |
| 887 | TZA | Nyakusa | F | 5.4 |
| 888 | TZA | Nyamwesi | F | 21.1 |
| 889 | TZA | Shambala | F | 4.3 |
| 890 | TZA | Swahili | T | 8.8 |
| 891 | UGA | Acholi | F | 4.4 |
| 892 | UGA | Ganda | F | 18.1 |
| 893 | UGA | Gisu | F | 4.5 |
| 894 | UGA | Kiga | F | 8.3 |
| 895 | UGA | Lango | F | 5.9 |
| 896 | UGA | Lugbara | F | 4.7 |
| 897 | UGA | Nkole | F | 10.7 |
| 898 | UGA | Rwanda | F | 3.2 |
| 899 | UGA | Soga | F | 8.2 |
| 900 | UGA | Teso | F | 6.0 |
| 901 | UKR | Belorussian | F | 0.3 |
| 902 | UKR | Bulgariana | F | 0.3 |
| 903 | UKR | Hungarian | F | 0.3 |
| 904 | UKR | Polish | F | 0.1 |
| 905 | UKR | Romanian | F | 0.7 |
| 906 | UKR | Russian | F | 32.9 |
| 907 | UKR | Ukrainian | T | 64.7 |
| 908 | UMI | English | T | 0.0 |
| 909 | URY | Spanish | T | 95.7 |
| 910 | USA | Chinese | F | 0.6 |
| 911 | USA | English | T | 86.2 |
| 912 | USA | French | F | 0.7 |
| 913 | USA | German | F | 0.7 |
| 914 | USA | Italian | F | 0.6 |
| 915 | USA | Japanese | F | 0.2 |
| 916 | USA | Korean | F | 0.3 |
| 917 | USA | Polish | F | 0.3 |
| 918 | USA | Portuguese | F | 0.2 |
| 919 | USA | Spanish | F | 7.5 |
| 920 | USA | Tagalog | F | 0.4 |
| 921 | USA | Vietnamese | F | 0.2 |
| 922 | UZB | Karakalpak | F | 2.0 |
| 923 | UZB | Kazakh | F | 3.8 |
| 924 | UZB | Russian | F | 10.9 |
| 925 | UZB | Tadzhik | F | 4.4 |
| 926 | UZB | Tatar | F | 1.8 |
| 927 | UZB | Uzbek | T | 72.6 |
| 928 | VAT | Italian | T | 0.0 |
| 929 | VCT | Creole English | F | 99.1 |
| 930 | VCT | English | T | 0.0 |
| 931 | VEN | Goajiro | F | 0.4 |
| 932 | VEN | Spanish | T | 96.9 |
| 933 | VEN | Warrau | F | 0.1 |
| 934 | VGB | English | T | 0.0 |
| 935 | VIR | English | T | 81.7 |
| 936 | VIR | French | F | 2.5 |
| 937 | VIR | Spanish | F | 13.3 |
| 938 | VNM | Chinese | F | 1.4 |
| 939 | VNM | Khmer | F | 1.4 |
| 940 | VNM | Man | F | 0.7 |
| 941 | VNM | Miao | F | 0.9 |
| 942 | VNM | Muong | F | 1.5 |
| 943 | VNM | Nung | F | 1.1 |
| 944 | VNM | Thai | F | 1.6 |
| 945 | VNM | Tho | F | 1.8 |
| 946 | VNM | Vietnamese | T | 86.8 |
| 947 | VUT | Bislama | T | 56.6 |
| 948 | VUT | English | T | 28.3 |
| 949 | VUT | French | T | 14.2 |
| 950 | WLF | Futuna | F | 0.0 |
| 951 | WLF | Wallis | F | 0.0 |
| 952 | WSM | English | T | 0.6 |
| 953 | WSM | Samoan | T | 47.5 |
| 954 | WSM | Samoan-English | F | 52.0 |
| 955 | YEM | Arabic | T | 99.6 |
| 956 | YEM | Soqutri | F | 0.0 |
| 957 | YUG | Albaniana | F | 16.5 |
| 958 | YUG | Hungarian | F | 3.4 |
| 959 | YUG | Macedonian | F | 0.5 |
| 960 | YUG | Romani | F | 1.4 |
| 961 | YUG | Serbo-Croatian | T | 75.2 |
| 962 | YUG | Slovak | F | 0.7 |
| 963 | ZAF | Afrikaans | T | 14.3 |
| 964 | ZAF | English | T | 8.5 |
| 965 | ZAF | Ndebele | F | 1.5 |
| 966 | ZAF | Northsotho | F | 9.1 |
| 967 | ZAF | Southsotho | F | 7.6 |
| 968 | ZAF | Swazi | F | 2.5 |
| 969 | ZAF | Tsonga | F | 4.3 |
| 970 | ZAF | Tswana | F | 8.1 |
| 971 | ZAF | Venda | F | 2.2 |
| 972 | ZAF | Xhosa | T | 17.7 |
| 973 | ZAF | Zulu | T | 22.7 |
| 974 | ZMB | Bemba | F | 29.7 |
| 975 | ZMB | Chewa | F | 5.7 |
| 976 | ZMB | Lozi | F | 6.4 |
| 977 | ZMB | Nsenga | F | 4.3 |
| 978 | ZMB | Nyanja | F | 7.8 |
| 979 | ZMB | Tonga | F | 11.0 |
| 980 | ZWE | English | T | 2.2 |
| 981 | ZWE | Ndebele | F | 16.2 |
| 982 | ZWE | Nyanja | F | 2.2 |
| 983 | ZWE | Shona | F | 72.1 |
Consultas Básicas#
1. Selección de países en el continente “Asia”
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name FROM country WHERE Continent="Asia";
| Name | |
|---|---|
| 0 | Afghanistan |
| 1 | United Arab Emirates |
| 2 | Armenia |
| 3 | Azerbaijan |
| 4 | Bangladesh |
| 5 | Bahrain |
| 6 | Brunei |
| 7 | Bhutan |
| 8 | China |
| 9 | Cyprus |
| 10 | Georgia |
| 11 | Hong Kong |
| 12 | Indonesia |
| 13 | India |
| 14 | Iran |
| 15 | Iraq |
| 16 | Israel |
| 17 | Jordan |
| 18 | Japan |
| 19 | Kazakstan |
| 20 | Kyrgyzstan |
| 21 | Cambodia |
| 22 | South Korea |
| 23 | Kuwait |
| 24 | Laos |
| 25 | Lebanon |
| 26 | Sri Lanka |
| 27 | Macao |
| 28 | Maldives |
| 29 | Myanmar |
| 30 | Mongolia |
| 31 | Malaysia |
| 32 | Nepal |
| 33 | Oman |
| 34 | Pakistan |
| 35 | Philippines |
| 36 | North Korea |
| 37 | Palestine |
| 38 | Qatar |
| 39 | Saudi Arabia |
| 40 | Singapore |
| 41 | Syria |
| 42 | Thailand |
| 43 | Tajikistan |
| 44 | Turkmenistan |
| 45 | East Timor |
| 46 | Turkey |
| 47 | Taiwan |
| 48 | Uzbekistan |
| 49 | Vietnam |
| 50 | Yemen |
2. Contar el número total de ciudades
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT DISTINCT COUNT(Name) AS Total_Cities FROM city;
| Total_Cities | |
|---|---|
| 0 | 4079 |
3. Listar todos los idiomas únicos en la tabla CountryLanguage
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT DISTINCT Language FROM countrylanguage ORDER BY Language ASC;
| Language | |
|---|---|
| 0 | [South]Mande |
| 1 | Abhyasi |
| 2 | Acholi |
| 3 | Adja |
| 4 | Afar |
| 5 | Afrikaans |
| 6 | Aimará |
| 7 | Ainu |
| 8 | Aizo |
| 9 | Akan |
| 10 | Albaniana |
| 11 | Ambo |
| 12 | Amhara |
| 13 | Ami |
| 14 | Ane |
| 15 | Arabic |
| 16 | Arabic-French |
| 17 | Arabic-French-English |
| 18 | Araucan |
| 19 | Arawakan |
| 20 | Armenian |
| 21 | Asami |
| 22 | Assyrian |
| 23 | Atayal |
| 24 | Avarian |
| 25 | Azerbaijani |
| 26 | Bajad |
| 27 | Bajan |
| 28 | Bakhtyari |
| 29 | Balante |
| 30 | Bali |
| 31 | Balochi |
| 32 | Bambara |
| 33 | Bamileke-bamum |
| 34 | Banda |
| 35 | Banja |
| 36 | Bari |
| 37 | Bariba |
| 38 | Bashkir |
| 39 | Basque |
| 40 | Bassa |
| 41 | Batakki |
| 42 | Beja |
| 43 | Belorussian |
| 44 | Bemba |
| 45 | Bengali |
| 46 | Berberi |
| 47 | Bhojpuri |
| 48 | Bicol |
| 49 | Bilin |
| 50 | Bislama |
| 51 | Boa |
| 52 | Brahui |
| 53 | Bubi |
| 54 | Bugi |
| 55 | Bulgariana |
| 56 | Bullom-sherbro |
| 57 | Bura |
| 58 | Burmese |
| 59 | Buryat |
| 60 | Busansi |
| 61 | Cakchiquel |
| 62 | Canton Chinese |
| 63 | Caprivi |
| 64 | Caribbean |
| 65 | Carolinian |
| 66 | Catalan |
| 67 | Cebuano |
| 68 | Chaga and Pare |
| 69 | Chakma |
| 70 | Chamorro |
| 71 | Chechen |
| 72 | Chewa |
| 73 | Chibcha |
| 74 | Chichewa |
| 75 | Chilluk |
| 76 | Chin |
| 77 | Chinese |
| 78 | Chiu chau |
| 79 | Chokwe |
| 80 | Chuabo |
| 81 | Chuvash |
| 82 | Circassian |
| 83 | Comorian |
| 84 | Comorian-Arabic |
| 85 | Comorian-French |
| 86 | Comorian-madagassi |
| 87 | Comorian-Swahili |
| 88 | Creole English |
| 89 | Creole French |
| 90 | Crioulo |
| 91 | Cuna |
| 92 | Czech |
| 93 | Czech and Moravian |
| 94 | Dagara |
| 95 | Danish |
| 96 | Dari |
| 97 | Dariganga |
| 98 | Dhivehi |
| 99 | Dinka |
| 100 | Diola |
| 101 | Dong |
| 102 | Dorbet |
| 103 | Duala |
| 104 | Dusun |
| 105 | Dutch |
| 106 | Dyula |
| 107 | Dzongkha |
| 108 | Edo |
| 109 | Embera |
| 110 | English |
| 111 | Eskimo Languages |
| 112 | Estonian |
| 113 | Ewe |
| 114 | Fang |
| 115 | Faroese |
| 116 | Fijian |
| 117 | Finnish |
| 118 | Fon |
| 119 | French |
| 120 | Fries |
| 121 | Friuli |
| 122 | Fukien |
| 123 | Ful |
| 124 | Fur |
| 125 | Futuna |
| 126 | Ga-adangme |
| 127 | Gaeli |
| 128 | Gagauzi |
| 129 | Galecian |
| 130 | Ganda |
| 131 | Garifuna |
| 132 | Garo |
| 133 | Gbaya |
| 134 | Georgiana |
| 135 | German |
| 136 | Gilaki |
| 137 | Gio |
| 138 | Gisu |
| 139 | Goajiro |
| 140 | Gogo |
| 141 | Gorane |
| 142 | Grebo |
| 143 | Greek |
| 144 | Greenlandic |
| 145 | Guaraní |
| 146 | Guaymí |
| 147 | Gujarati |
| 148 | Gur |
| 149 | Gurage |
| 150 | Gurma |
| 151 | Gusii |
| 152 | Ha |
| 153 | Hadareb |
| 154 | Hadjarai |
| 155 | Haiti Creole |
| 156 | Hakka |
| 157 | Hassaniya |
| 158 | Hausa |
| 159 | Haya |
| 160 | Hebrew |
| 161 | Hehet |
| 162 | Herero |
| 163 | Hiligaynon |
| 164 | Hindi |
| 165 | Hindko |
| 166 | Hui |
| 167 | Hungarian |
| 168 | Iban |
| 169 | Ibibio |
| 170 | Ibo |
| 171 | Icelandic |
| 172 | Ijo |
| 173 | Ilocano |
| 174 | Indian Languages |
| 175 | Irish |
| 176 | Italian |
| 177 | Japanese |
| 178 | Javanese |
| 179 | Joruba |
| 180 | Kabyé |
| 181 | Kachin |
| 182 | Kalenjin |
| 183 | Kamba |
| 184 | Kanem-bornu |
| 185 | Kannada |
| 186 | Kanuri |
| 187 | Karakalpak |
| 188 | Karen |
| 189 | Kavango |
| 190 | Kayah |
| 191 | Kazakh |
| 192 | Kekchí |
| 193 | Ketšua |
| 194 | Khasi |
| 195 | Khmer |
| 196 | Khoekhoe |
| 197 | Kiga |
| 198 | Kikuyu |
| 199 | Kirgiz |
| 200 | Kiribati |
| 201 | Kirundi |
| 202 | Kissi |
| 203 | Kongo |
| 204 | Kono-vai |
| 205 | Korean |
| 206 | Kosrean |
| 207 | Kotokoli |
| 208 | Kpelle |
| 209 | Kru |
| 210 | Kuranko |
| 211 | Kurdish |
| 212 | Kuy |
| 213 | Kymri |
| 214 | Lango |
| 215 | Lao |
| 216 | Lao-Soung |
| 217 | Latvian |
| 218 | Lezgian |
| 219 | Limba |
| 220 | Lithuanian |
| 221 | Loma |
| 222 | Lomwe |
| 223 | Lotuko |
| 224 | Lozi |
| 225 | Luba |
| 226 | Luchazi |
| 227 | Lugbara |
| 228 | Luguru |
| 229 | Luhya |
| 230 | Luimbe-nganguela |
| 231 | Luo |
| 232 | Luri |
| 233 | Luvale |
| 234 | Luxembourgish |
| 235 | Macedonian |
| 236 | Madura |
| 237 | Maguindanao |
| 238 | Mahoré |
| 239 | Maithili |
| 240 | Maka |
| 241 | Makonde |
| 242 | Makua |
| 243 | Malagasy |
| 244 | Malajalam |
| 245 | Malay |
| 246 | Malay-English |
| 247 | Malenasian Languages |
| 248 | Malinke |
| 249 | Maltese |
| 250 | Mam |
| 251 | Man |
| 252 | Mandara |
| 253 | Mandarin Chinese |
| 254 | Mandjia |
| 255 | Mandyako |
| 256 | Mano |
| 257 | Mantšu |
| 258 | Maori |
| 259 | Maranao |
| 260 | Marathi |
| 261 | Marendje |
| 262 | Mari |
| 263 | Marma |
| 264 | Marshallese |
| 265 | Masai |
| 266 | Masana |
| 267 | Maya Languages |
| 268 | Mayo-kebbi |
| 269 | Mazandarani |
| 270 | Mbete |
| 271 | Mboshi |
| 272 | Mbum |
| 273 | Mbundu |
| 274 | Mende |
| 275 | Meru |
| 276 | Miao |
| 277 | Min |
| 278 | Minangkabau |
| 279 | Miskito |
| 280 | Mixed Languages |
| 281 | Mixtec |
| 282 | Moba |
| 283 | Mon |
| 284 | Mon-khmer |
| 285 | Monegasque |
| 286 | Mongo |
| 287 | Mongolian |
| 288 | Moravian |
| 289 | Mordva |
| 290 | Mortlock |
| 291 | Mossi |
| 292 | Mpongwe |
| 293 | Muong |
| 294 | Nahua |
| 295 | Náhuatl |
| 296 | Nama |
| 297 | Naudemba |
| 298 | Nauru |
| 299 | Ndebele |
| 300 | Nepali |
| 301 | Newari |
| 302 | Ngala and Bangi |
| 303 | Ngbaka |
| 304 | Ngoni |
| 305 | Niue |
| 306 | Nkole |
| 307 | Northsotho |
| 308 | Norwegian |
| 309 | Nsenga |
| 310 | Nubian Languages |
| 311 | Nuer |
| 312 | Nung |
| 313 | Nyakusa |
| 314 | Nyamwesi |
| 315 | Nyaneka-nkhumbi |
| 316 | Nyanja |
| 317 | Nyika |
| 318 | Orija |
| 319 | Oromo |
| 320 | Osseetti |
| 321 | Otomí |
| 322 | Ouaddai |
| 323 | Ovambo |
| 324 | Ovimbundu |
| 325 | Paiwan |
| 326 | Palau |
| 327 | Pampango |
| 328 | Pangasinan |
| 329 | Papiamento |
| 330 | Papuan Languages |
| 331 | Pashto |
| 332 | Persian |
| 333 | Philippene Languages |
| 334 | Pilipino |
| 335 | Pitcairnese |
| 336 | Pohnpei |
| 337 | Polish |
| 338 | Polynesian Languages |
| 339 | Portuguese |
| 340 | Punjabi |
| 341 | Punu |
| 342 | Punu-sira-nzebi |
| 343 | Puyi |
| 344 | Quiché |
| 345 | Rakhine |
| 346 | Rapa nui |
| 347 | Romani |
| 348 | Romanian |
| 349 | Romansh |
| 350 | Ronga |
| 351 | Rundi |
| 352 | Russian |
| 353 | Rwanda |
| 354 | Saame |
| 355 | Saho |
| 356 | Samoan |
| 357 | Samoan-English |
| 358 | San |
| 359 | Sango |
| 360 | Santhali |
| 361 | Sara |
| 362 | Saraiki |
| 363 | Sardinian |
| 364 | Sena |
| 365 | Senufo and Minianka |
| 366 | Serbo-Croatian |
| 367 | Serer |
| 368 | Seselwa |
| 369 | Shambala |
| 370 | Shan |
| 371 | Shona |
| 372 | Sidamo |
| 373 | Silesiana |
| 374 | Sinaberberi |
| 375 | Sindhi |
| 376 | Singali |
| 377 | Slovak |
| 378 | Slovene |
| 379 | Soga |
| 380 | Somali |
| 381 | Somba |
| 382 | Songhai |
| 383 | Songhai-zerma |
| 384 | Soninke |
| 385 | Soqutri |
| 386 | Sotho |
| 387 | Southern Slavic Languages |
| 388 | Southsotho |
| 389 | Spanish |
| 390 | Sranantonga |
| 391 | Sumo |
| 392 | Sunda |
| 393 | Susu |
| 394 | Swahili |
| 395 | Swazi |
| 396 | Swedish |
| 397 | Tadzhik |
| 398 | Tagalog |
| 399 | Tahitian |
| 400 | Tamang |
| 401 | Tamashek |
| 402 | Tamil |
| 403 | Tandjile |
| 404 | Tatar |
| 405 | Teke |
| 406 | Telugu |
| 407 | Temne |
| 408 | Teso |
| 409 | Thai |
| 410 | Tharu |
| 411 | Tho |
| 412 | Tibetan |
| 413 | Tigre |
| 414 | Tigrinja |
| 415 | Tikar |
| 416 | Tiv |
| 417 | Tokelau |
| 418 | Tonga |
| 419 | Tongan |
| 420 | Tripuri |
| 421 | Trukese |
| 422 | Tšam |
| 423 | Tsonga |
| 424 | Tswa |
| 425 | Tswana |
| 426 | Tujia |
| 427 | Tukulor |
| 428 | Turkana |
| 429 | Turkish |
| 430 | Turkmenian |
| 431 | Tuvalu |
| 432 | Udmur |
| 433 | Uighur |
| 434 | Ukrainian |
| 435 | Ukrainian and Russian |
| 436 | Urdu |
| 437 | Uzbek |
| 438 | Venda |
| 439 | Vietnamese |
| 440 | Walaita |
| 441 | Wallis |
| 442 | Waray-waray |
| 443 | Warrau |
| 444 | Watyi |
| 445 | Wolea |
| 446 | Wolof |
| 447 | Xhosa |
| 448 | Yalunka |
| 449 | Yao |
| 450 | Yap |
| 451 | Yi |
| 452 | Yucatec |
| 453 | Zande |
| 454 | Zapotec |
| 455 | Zenaga |
| 456 | Zhuang |
| 457 | Zulu |
4. Selección de países con población mayor a 100 millones
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name,Population FROM country
WHERE Population>100e6
ORDER BY Population DESC;
| Name | Population | |
|---|---|---|
| 0 | China | 1277558000 |
| 1 | India | 1013662000 |
| 2 | United States | 278357000 |
| 3 | Indonesia | 212107000 |
| 4 | Brazil | 170115000 |
| 5 | Pakistan | 156483000 |
| 6 | Russian Federation | 146934000 |
| 7 | Bangladesh | 129155000 |
| 8 | Japan | 126714000 |
| 9 | Nigeria | 111506000 |
5. Listar nombres de países y continentes ordenados alfabéticamente por nombre de país
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name, Continent FROM country
ORDER BY Name ASC;
| Name | Continent | |
|---|---|---|
| 0 | Afghanistan | Asia |
| 1 | Albania | Europe |
| 2 | Algeria | Africa |
| 3 | American Samoa | Oceania |
| 4 | Andorra | Europe |
| 5 | Angola | Africa |
| 6 | Anguilla | North America |
| 7 | Antarctica | Antarctica |
| 8 | Antigua and Barbuda | North America |
| 9 | Argentina | South America |
| 10 | Armenia | Asia |
| 11 | Aruba | North America |
| 12 | Australia | Oceania |
| 13 | Austria | Europe |
| 14 | Azerbaijan | Asia |
| 15 | Bahamas | North America |
| 16 | Bahrain | Asia |
| 17 | Bangladesh | Asia |
| 18 | Barbados | North America |
| 19 | Belarus | Europe |
| 20 | Belgium | Europe |
| 21 | Belize | North America |
| 22 | Benin | Africa |
| 23 | Bermuda | North America |
| 24 | Bhutan | Asia |
| 25 | Bolivia | South America |
| 26 | Bosnia and Herzegovina | Europe |
| 27 | Botswana | Africa |
| 28 | Bouvet Island | Antarctica |
| 29 | Brazil | South America |
| 30 | British Indian Ocean Territory | Africa |
| 31 | Brunei | Asia |
| 32 | Bulgaria | Europe |
| 33 | Burkina Faso | Africa |
| 34 | Burundi | Africa |
| 35 | Cambodia | Asia |
| 36 | Cameroon | Africa |
| 37 | Canada | North America |
| 38 | Cape Verde | Africa |
| 39 | Cayman Islands | North America |
| 40 | Central African Republic | Africa |
| 41 | Chad | Africa |
| 42 | Chile | South America |
| 43 | China | Asia |
| 44 | Christmas Island | Oceania |
| 45 | Cocos (Keeling) Islands | Oceania |
| 46 | Colombia | South America |
| 47 | Comoros | Africa |
| 48 | Congo | Africa |
| 49 | Congo, The Democratic Republic of the | Africa |
| 50 | Cook Islands | Oceania |
| 51 | Costa Rica | North America |
| 52 | Côte d’Ivoire | Africa |
| 53 | Croatia | Europe |
| 54 | Cuba | North America |
| 55 | Cyprus | Asia |
| 56 | Czech Republic | Europe |
| 57 | Denmark | Europe |
| 58 | Djibouti | Africa |
| 59 | Dominica | North America |
| 60 | Dominican Republic | North America |
| 61 | East Timor | Asia |
| 62 | Ecuador | South America |
| 63 | Egypt | Africa |
| 64 | El Salvador | North America |
| 65 | Equatorial Guinea | Africa |
| 66 | Eritrea | Africa |
| 67 | Estonia | Europe |
| 68 | Ethiopia | Africa |
| 69 | Falkland Islands | South America |
| 70 | Faroe Islands | Europe |
| 71 | Fiji Islands | Oceania |
| 72 | Finland | Europe |
| 73 | France | Europe |
| 74 | French Guiana | South America |
| 75 | French Polynesia | Oceania |
| 76 | French Southern territories | Antarctica |
| 77 | Gabon | Africa |
| 78 | Gambia | Africa |
| 79 | Georgia | Asia |
| 80 | Germany | Europe |
| 81 | Ghana | Africa |
| 82 | Gibraltar | Europe |
| 83 | Greece | Europe |
| 84 | Greenland | North America |
| 85 | Grenada | North America |
| 86 | Guadeloupe | North America |
| 87 | Guam | Oceania |
| 88 | Guatemala | North America |
| 89 | Guinea | Africa |
| 90 | Guinea-Bissau | Africa |
| 91 | Guyana | South America |
| 92 | Haiti | North America |
| 93 | Heard Island and McDonald Islands | Antarctica |
| 94 | Holy See (Vatican City State) | Europe |
| 95 | Honduras | North America |
| 96 | Hong Kong | Asia |
| 97 | Hungary | Europe |
| 98 | Iceland | Europe |
| 99 | India | Asia |
| 100 | Indonesia | Asia |
| 101 | Iran | Asia |
| 102 | Iraq | Asia |
| 103 | Ireland | Europe |
| 104 | Israel | Asia |
| 105 | Italy | Europe |
| 106 | Jamaica | North America |
| 107 | Japan | Asia |
| 108 | Jordan | Asia |
| 109 | Kazakstan | Asia |
| 110 | Kenya | Africa |
| 111 | Kiribati | Oceania |
| 112 | Kuwait | Asia |
| 113 | Kyrgyzstan | Asia |
| 114 | Laos | Asia |
| 115 | Latvia | Europe |
| 116 | Lebanon | Asia |
| 117 | Lesotho | Africa |
| 118 | Liberia | Africa |
| 119 | Libyan Arab Jamahiriya | Africa |
| 120 | Liechtenstein | Europe |
| 121 | Lithuania | Europe |
| 122 | Luxembourg | Europe |
| 123 | Macao | Asia |
| 124 | Macedonia | Europe |
| 125 | Madagascar | Africa |
| 126 | Malawi | Africa |
| 127 | Malaysia | Asia |
| 128 | Maldives | Asia |
| 129 | Mali | Africa |
| 130 | Malta | Europe |
| 131 | Marshall Islands | Oceania |
| 132 | Martinique | North America |
| 133 | Mauritania | Africa |
| 134 | Mauritius | Africa |
| 135 | Mayotte | Africa |
| 136 | Mexico | North America |
| 137 | Micronesia, Federated States of | Oceania |
| 138 | Moldova | Europe |
| 139 | Monaco | Europe |
| 140 | Mongolia | Asia |
| 141 | Montserrat | North America |
| 142 | Morocco | Africa |
| 143 | Mozambique | Africa |
| 144 | Myanmar | Asia |
| 145 | Namibia | Africa |
| 146 | Nauru | Oceania |
| 147 | Nepal | Asia |
| 148 | Netherlands | Europe |
| 149 | Netherlands Antilles | North America |
| 150 | New Caledonia | Oceania |
| 151 | New Zealand | Oceania |
| 152 | Nicaragua | North America |
| 153 | Niger | Africa |
| 154 | Nigeria | Africa |
| 155 | Niue | Oceania |
| 156 | Norfolk Island | Oceania |
| 157 | North Korea | Asia |
| 158 | Northern Mariana Islands | Oceania |
| 159 | Norway | Europe |
| 160 | Oman | Asia |
| 161 | Pakistan | Asia |
| 162 | Palau | Oceania |
| 163 | Palestine | Asia |
| 164 | Panama | North America |
| 165 | Papua New Guinea | Oceania |
| 166 | Paraguay | South America |
| 167 | Peru | South America |
| 168 | Philippines | Asia |
| 169 | Pitcairn | Oceania |
| 170 | Poland | Europe |
| 171 | Portugal | Europe |
| 172 | Puerto Rico | North America |
| 173 | Qatar | Asia |
| 174 | Réunion | Africa |
| 175 | Romania | Europe |
| 176 | Russian Federation | Europe |
| 177 | Rwanda | Africa |
| 178 | Saint Helena | Africa |
| 179 | Saint Kitts and Nevis | North America |
| 180 | Saint Lucia | North America |
| 181 | Saint Pierre and Miquelon | North America |
| 182 | Saint Vincent and the Grenadines | North America |
| 183 | Samoa | Oceania |
| 184 | San Marino | Europe |
| 185 | Sao Tome and Principe | Africa |
| 186 | Saudi Arabia | Asia |
| 187 | Senegal | Africa |
| 188 | Seychelles | Africa |
| 189 | Sierra Leone | Africa |
| 190 | Singapore | Asia |
| 191 | Slovakia | Europe |
| 192 | Slovenia | Europe |
| 193 | Solomon Islands | Oceania |
| 194 | Somalia | Africa |
| 195 | South Africa | Africa |
| 196 | South Georgia and the South Sandwich Islands | Antarctica |
| 197 | South Korea | Asia |
| 198 | Spain | Europe |
| 199 | Sri Lanka | Asia |
| 200 | Sudan | Africa |
| 201 | Suriname | South America |
| 202 | Svalbard and Jan Mayen | Europe |
| 203 | Swaziland | Africa |
| 204 | Sweden | Europe |
| 205 | Switzerland | Europe |
| 206 | Syria | Asia |
| 207 | Taiwan | Asia |
| 208 | Tajikistan | Asia |
| 209 | Tanzania | Africa |
| 210 | Thailand | Asia |
| 211 | Togo | Africa |
| 212 | Tokelau | Oceania |
| 213 | Tonga | Oceania |
| 214 | Trinidad and Tobago | North America |
| 215 | Tunisia | Africa |
| 216 | Turkey | Asia |
| 217 | Turkmenistan | Asia |
| 218 | Turks and Caicos Islands | North America |
| 219 | Tuvalu | Oceania |
| 220 | Uganda | Africa |
| 221 | Ukraine | Europe |
| 222 | United Arab Emirates | Asia |
| 223 | United Kingdom | Europe |
| 224 | United States | North America |
| 225 | United States Minor Outlying Islands | Oceania |
| 226 | Uruguay | South America |
| 227 | Uzbekistan | Asia |
| 228 | Vanuatu | Oceania |
| 229 | Venezuela | South America |
| 230 | Vietnam | Asia |
| 231 | Virgin Islands, British | North America |
| 232 | Virgin Islands, U.S. | North America |
| 233 | Wallis and Futuna | Oceania |
| 234 | Western Sahara | Africa |
| 235 | Yemen | Asia |
| 236 | Yugoslavia | Europe |
| 237 | Zambia | Africa |
| 238 | Zimbabwe | Africa |
6. Obtener la ciudad con mayor población
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name, Population FROM city
ORDER BY Population DESC LIMIT 1;
-- otra opción usando MAX()
SELECT Name, Population FROM city
WHERE Population=(SELECT MAX(Population) FROM city);
| Name | Population | |
|---|---|---|
| 0 | Mumbai (Bombay) | 10500000 |
7. Selección de países que tienen “Republic” en su nombre
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name FROM country
WHERE Name LIKE "%%Republic%%";
| Name | |
|---|---|
| 0 | Central African Republic |
| 1 | Congo, The Democratic Republic of the |
| 2 | Czech Republic |
| 3 | Dominican Republic |
8. Listar los 5 países más poblados
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name,Population FROM country
ORDER BY Population DESC LIMIT 5;
| Name | Population | |
|---|---|---|
| 0 | China | 1277558000 |
| 1 | India | 1013662000 |
| 2 | United States | 278357000 |
| 3 | Indonesia | 212107000 |
| 4 | Brazil | 170115000 |
9. Calcular la población promedio de los países en el continente “Europe”
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT AVG(Population) AS AVG_Poblacion_Europa
FROM country WHERE Continent="Europe";
| AVG_Poblacion_Europa | |
|---|---|
| 0 | 1.587119e+07 |
10. Selección de idiomas con más del 10% de la población mundial que los habla
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Language, SUM(Population * (Percentage / 100)) AS TotalSpeakers
FROM country
JOIN countrylanguage ON country.Code = countrylanguage.CountryCode
GROUP BY Language
HAVING TotalSpeakers > (SELECT SUM(Population) FROM country) * 0.1
ORDER BY TotalSpeakers DESC;
| Language | TotalSpeakers | |
|---|---|---|
| 0 | Chinese | 1.191844e+09 |
Consultas de Nivel Medio#
1. Encontrar los 5 países más poblados por continente
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Continent, Name AS Country, Population
FROM country c1
WHERE (
SELECT COUNT(*)
FROM country c2
WHERE c2.Continent = c1.Continent
AND c2.Population > c1.Population
) < 5
ORDER BY Continent, Population DESC;
-- otra forma usando ROW_NUMBER
SELECT Continent, Name AS Country, Population
FROM (
SELECT Continent, Name, Population,
ROW_NUMBER() OVER (PARTITION BY Continent ORDER BY Population DESC) AS rn
FROM country
) AS ranked
WHERE rn <= 5
ORDER BY Continent, Population DESC;
| Continent | Country | Population | |
|---|---|---|---|
| 0 | Asia | China | 1277558000 |
| 1 | Asia | India | 1013662000 |
| 2 | Asia | Indonesia | 212107000 |
| 3 | Asia | Pakistan | 156483000 |
| 4 | Asia | Bangladesh | 129155000 |
| 5 | Europe | Russian Federation | 146934000 |
| 6 | Europe | Germany | 82164700 |
| 7 | Europe | United Kingdom | 59623400 |
| 8 | Europe | France | 59225700 |
| 9 | Europe | Italy | 57680000 |
| 10 | North America | United States | 278357000 |
| 11 | North America | Mexico | 98881000 |
| 12 | North America | Canada | 31147000 |
| 13 | North America | Guatemala | 11385000 |
| 14 | North America | Cuba | 11201000 |
| 15 | Africa | Nigeria | 111506000 |
| 16 | Africa | Egypt | 68470000 |
| 17 | Africa | Ethiopia | 62565000 |
| 18 | Africa | Congo, The Democratic Republic of the | 51654000 |
| 19 | Africa | South Africa | 40377000 |
| 20 | Oceania | Australia | 18886000 |
| 21 | Oceania | Papua New Guinea | 4807000 |
| 22 | Oceania | New Zealand | 3862000 |
| 23 | Oceania | Fiji Islands | 817000 |
| 24 | Oceania | Solomon Islands | 444000 |
| 25 | Antarctica | French Southern territories | 0 |
| 26 | Antarctica | South Georgia and the South Sandwich Islands | 0 |
| 27 | Antarctica | Heard Island and McDonald Islands | 0 |
| 28 | Antarctica | Bouvet Island | 0 |
| 29 | Antarctica | Antarctica | 0 |
| 30 | South America | Brazil | 170115000 |
| 31 | South America | Colombia | 42321000 |
| 32 | South America | Argentina | 37032000 |
| 33 | South America | Peru | 25662000 |
| 34 | South America | Venezuela | 24170000 |
2. Listar países que usan más de un idioma
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name, CountryCode, COUNT(Language) AS NoLanguages FROM countrylanguage
LEFT JOIN country on countrylanguage.CountryCode = country.Code
GROUP BY CountryCode HAVING COUNT(Language)>1;
| Name | CountryCode | NoLanguages | |
|---|---|---|---|
| 0 | Aruba | ABW | 4 |
| 1 | Afghanistan | AFG | 5 |
| 2 | Angola | AGO | 9 |
| 3 | Albania | ALB | 3 |
| 4 | Andorra | AND | 4 |
| 5 | Netherlands Antilles | ANT | 3 |
| 6 | United Arab Emirates | ARE | 2 |
| 7 | Argentina | ARG | 3 |
| 8 | Armenia | ARM | 2 |
| 9 | American Samoa | ASM | 3 |
| 10 | Antigua and Barbuda | ATG | 2 |
| 11 | Australia | AUS | 8 |
| 12 | Austria | AUT | 8 |
| 13 | Azerbaijan | AZE | 4 |
| 14 | Burundi | BDI | 3 |
| 15 | Belgium | BEL | 6 |
| 16 | Benin | BEN | 7 |
| 17 | Burkina Faso | BFA | 6 |
| 18 | Bangladesh | BGD | 7 |
| 19 | Bulgaria | BGR | 4 |
| 20 | Bahrain | BHR | 2 |
| 21 | Bahamas | BHS | 2 |
| 22 | Belarus | BLR | 4 |
| 23 | Belize | BLZ | 4 |
| 24 | Bolivia | BOL | 4 |
| 25 | Brazil | BRA | 5 |
| 26 | Barbados | BRB | 2 |
| 27 | Brunei | BRN | 4 |
| 28 | Bhutan | BTN | 3 |
| 29 | Botswana | BWA | 5 |
| 30 | Central African Republic | CAF | 6 |
| 31 | Canada | CAN | 12 |
| 32 | Cocos (Keeling) Islands | CCK | 2 |
| 33 | Switzerland | CHE | 4 |
| 34 | Chile | CHL | 4 |
| 35 | China | CHN | 12 |
| 36 | Côte d’Ivoire | CIV | 5 |
| 37 | Cameroon | CMR | 8 |
| 38 | Congo, The Democratic Republic of the | COD | 10 |
| 39 | Congo | COG | 6 |
| 40 | Cook Islands | COK | 2 |
| 41 | Colombia | COL | 5 |
| 42 | Comoros | COM | 5 |
| 43 | Cape Verde | CPV | 2 |
| 44 | Costa Rica | CRI | 4 |
| 45 | Christmas Island | CXR | 2 |
| 46 | Cyprus | CYP | 2 |
| 47 | Czech Republic | CZE | 8 |
| 48 | Germany | DEU | 6 |
| 49 | Djibouti | DJI | 3 |
| 50 | Dominica | DMA | 2 |
| 51 | Denmark | DNK | 7 |
| 52 | Dominican Republic | DOM | 2 |
| 53 | Algeria | DZA | 2 |
| 54 | Ecuador | ECU | 2 |
| 55 | Egypt | EGY | 2 |
| 56 | Eritrea | ERI | 6 |
| 57 | Spain | ESP | 4 |
| 58 | Estonia | EST | 5 |
| 59 | Ethiopia | ETH | 7 |
| 60 | Finland | FIN | 5 |
| 61 | Fiji Islands | FJI | 2 |
| 62 | France | FRA | 6 |
| 63 | Faroe Islands | FRO | 2 |
| 64 | Micronesia, Federated States of | FSM | 6 |
| 65 | Gabon | GAB | 4 |
| 66 | United Kingdom | GBR | 3 |
| 67 | Georgia | GEO | 6 |
| 68 | Ghana | GHA | 6 |
| 69 | Gibraltar | GIB | 2 |
| 70 | Guinea | GIN | 7 |
| 71 | Guadeloupe | GLP | 2 |
| 72 | Gambia | GMB | 5 |
| 73 | Guinea-Bissau | GNB | 6 |
| 74 | Equatorial Guinea | GNQ | 2 |
| 75 | Greece | GRC | 2 |
| 76 | Greenland | GRL | 2 |
| 77 | Guatemala | GTM | 5 |
| 78 | French Guiana | GUF | 2 |
| 79 | Guam | GUM | 5 |
| 80 | Guyana | GUY | 3 |
| 81 | Hong Kong | HKG | 5 |
| 82 | Honduras | HND | 4 |
| 83 | Croatia | HRV | 2 |
| 84 | Haiti | HTI | 2 |
| 85 | Hungary | HUN | 6 |
| 86 | Indonesia | IDN | 9 |
| 87 | India | IND | 12 |
| 88 | Ireland | IRL | 2 |
| 89 | Iran | IRN | 10 |
| 90 | Iraq | IRQ | 5 |
| 91 | Iceland | ISL | 2 |
| 92 | Israel | ISR | 3 |
| 93 | Italy | ITA | 8 |
| 94 | Jamaica | JAM | 2 |
| 95 | Jordan | JOR | 3 |
| 96 | Japan | JPN | 6 |
| 97 | Kazakstan | KAZ | 6 |
| 98 | Kenya | KEN | 10 |
| 99 | Kyrgyzstan | KGZ | 7 |
| 100 | Cambodia | KHM | 4 |
| 101 | Kiribati | KIR | 2 |
| 102 | Saint Kitts and Nevis | KNA | 2 |
| 103 | South Korea | KOR | 2 |
| 104 | Kuwait | KWT | 2 |
| 105 | Laos | LAO | 4 |
| 106 | Lebanon | LBN | 3 |
| 107 | Liberia | LBR | 8 |
| 108 | Libyan Arab Jamahiriya | LBY | 2 |
| 109 | Saint Lucia | LCA | 2 |
| 110 | Liechtenstein | LIE | 3 |
| 111 | Sri Lanka | LKA | 3 |
| 112 | Lesotho | LSO | 3 |
| 113 | Lithuania | LTU | 5 |
| 114 | Luxembourg | LUX | 5 |
| 115 | Latvia | LVA | 6 |
| 116 | Macao | MAC | 4 |
| 117 | Morocco | MAR | 2 |
| 118 | Monaco | MCO | 4 |
| 119 | Moldova | MDA | 5 |
| 120 | Madagascar | MDG | 2 |
| 121 | Maldives | MDV | 2 |
| 122 | Mexico | MEX | 6 |
| 123 | Marshall Islands | MHL | 2 |
| 124 | Macedonia | MKD | 5 |
| 125 | Mali | MLI | 6 |
| 126 | Malta | MLT | 2 |
| 127 | Myanmar | MMR | 8 |
| 128 | Mongolia | MNG | 6 |
| 129 | Northern Mariana Islands | MNP | 6 |
| 130 | Mozambique | MOZ | 10 |
| 131 | Mauritania | MRT | 6 |
| 132 | Martinique | MTQ | 2 |
| 133 | Mauritius | MUS | 6 |
| 134 | Malawi | MWI | 4 |
| 135 | Malaysia | MYS | 6 |
| 136 | Mayotte | MYT | 3 |
| 137 | Namibia | NAM | 8 |
| 138 | New Caledonia | NCL | 3 |
| 139 | Niger | NER | 5 |
| 140 | Nigeria | NGA | 10 |
| 141 | Nicaragua | NIC | 4 |
| 142 | Niue | NIU | 2 |
| 143 | Netherlands | NLD | 4 |
| 144 | Norway | NOR | 5 |
| 145 | Nepal | NPL | 7 |
| 146 | Nauru | NRU | 5 |
| 147 | New Zealand | NZL | 2 |
| 148 | Oman | OMN | 2 |
| 149 | Pakistan | PAK | 8 |
| 150 | Panama | PAN | 6 |
| 151 | Peru | PER | 3 |
| 152 | Philippines | PHL | 10 |
| 153 | Palau | PLW | 4 |
| 154 | Papua New Guinea | PNG | 2 |
| 155 | Poland | POL | 4 |
| 156 | Puerto Rico | PRI | 2 |
| 157 | North Korea | PRK | 2 |
| 158 | Paraguay | PRY | 4 |
| 159 | Palestine | PSE | 2 |
| 160 | French Polynesia | PYF | 3 |
| 161 | Qatar | QAT | 2 |
| 162 | Réunion | REU | 5 |
| 163 | Romania | ROM | 6 |
| 164 | Russian Federation | RUS | 12 |
| 165 | Rwanda | RWA | 2 |
| 166 | Sudan | SDN | 10 |
| 167 | Senegal | SEN | 6 |
| 168 | Singapore | SGP | 3 |
| 169 | Svalbard and Jan Mayen | SJM | 2 |
| 170 | Solomon Islands | SLB | 3 |
| 171 | Sierra Leone | SLE | 8 |
| 172 | El Salvador | SLV | 2 |
| 173 | Somalia | SOM | 2 |
| 174 | Sao Tome and Principe | STP | 2 |
| 175 | Suriname | SUR | 2 |
| 176 | Slovakia | SVK | 5 |
| 177 | Slovenia | SVN | 3 |
| 178 | Sweden | SWE | 6 |
| 179 | Swaziland | SWZ | 2 |
| 180 | Seychelles | SYC | 3 |
| 181 | Syria | SYR | 2 |
| 182 | Chad | TCD | 8 |
| 183 | Togo | TGO | 8 |
| 184 | Thailand | THA | 6 |
| 185 | Tajikistan | TJK | 3 |
| 186 | Tokelau | TKL | 2 |
| 187 | Turkmenistan | TKM | 4 |
| 188 | East Timor | TMP | 2 |
| 189 | Tonga | TON | 2 |
| 190 | Trinidad and Tobago | TTO | 3 |
| 191 | Tunisia | TUN | 3 |
| 192 | Turkey | TUR | 3 |
| 193 | Tuvalu | TUV | 3 |
| 194 | Taiwan | TWN | 6 |
| 195 | Tanzania | TZA | 11 |
| 196 | Uganda | UGA | 10 |
| 197 | Ukraine | UKR | 7 |
| 198 | United States | USA | 12 |
| 199 | Uzbekistan | UZB | 6 |
| 200 | Saint Vincent and the Grenadines | VCT | 2 |
| 201 | Venezuela | VEN | 3 |
| 202 | Virgin Islands, U.S. | VIR | 3 |
| 203 | Vietnam | VNM | 9 |
| 204 | Vanuatu | VUT | 3 |
| 205 | Wallis and Futuna | WLF | 2 |
| 206 | Samoa | WSM | 3 |
| 207 | Yemen | YEM | 2 |
| 208 | Yugoslavia | YUG | 6 |
| 209 | South Africa | ZAF | 11 |
| 210 | Zambia | ZMB | 6 |
| 211 | Zimbabwe | ZWE | 4 |
3. Calcular el total de población de cada continente
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Continent, SUM(Population) AS TotalPoblacion
FROM country
GROUP BY Continent ORDER BY Continent ASC;
| Continent | TotalPoblacion | |
|---|---|---|
| 0 | Asia | 3.705026e+09 |
| 1 | Europe | 7.300746e+08 |
| 2 | North America | 4.829930e+08 |
| 3 | Africa | 7.844750e+08 |
| 4 | Oceania | 3.040115e+07 |
| 5 | Antarctica | 0.000000e+00 |
| 6 | South America | 3.457800e+08 |
4. Contar el número de ciudades en cada país
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT country.Name, CountryCode, COUNT(*) AS NoCities
FROM city
LEFT JOIN country ON city.CountryCode = country.Code
GROUP BY CountryCode ORDER BY NoCities ASC;
| Name | CountryCode | NoCities | |
|---|---|---|---|
| 0 | Aruba | ABW | 1 |
| 1 | Albania | ALB | 1 |
| 2 | Andorra | AND | 1 |
| 3 | Netherlands Antilles | ANT | 1 |
| 4 | Antigua and Barbuda | ATG | 1 |
| 5 | Burundi | BDI | 1 |
| 6 | Bahrain | BHR | 1 |
| 7 | Bahamas | BHS | 1 |
| 8 | Barbados | BRB | 1 |
| 9 | Brunei | BRN | 1 |
| 10 | Bhutan | BTN | 1 |
| 11 | Central African Republic | CAF | 1 |
| 12 | Cook Islands | COK | 1 |
| 13 | Comoros | COM | 1 |
| 14 | Cape Verde | CPV | 1 |
| 15 | Costa Rica | CRI | 1 |
| 16 | Christmas Island | CXR | 1 |
| 17 | Cayman Islands | CYM | 1 |
| 18 | Djibouti | DJI | 1 |
| 19 | Dominica | DMA | 1 |
| 20 | Eritrea | ERI | 1 |
| 21 | Western Sahara | ESH | 1 |
| 22 | Fiji Islands | FJI | 1 |
| 23 | Falkland Islands | FLK | 1 |
| 24 | Faroe Islands | FRO | 1 |
| 25 | Gabon | GAB | 1 |
| 26 | Gibraltar | GIB | 1 |
| 27 | Guinea | GIN | 1 |
| 28 | Guinea-Bissau | GNB | 1 |
| 29 | Equatorial Guinea | GNQ | 1 |
| 30 | Grenada | GRD | 1 |
| 31 | Greenland | GRL | 1 |
| 32 | French Guiana | GUF | 1 |
| 33 | Guyana | GUY | 1 |
| 34 | Iceland | ISL | 1 |
| 35 | Saint Kitts and Nevis | KNA | 1 |
| 36 | Liberia | LBR | 1 |
| 37 | Saint Lucia | LCA | 1 |
| 38 | Lesotho | LSO | 1 |
| 39 | Luxembourg | LUX | 1 |
| 40 | Macao | MAC | 1 |
| 41 | Maldives | MDV | 1 |
| 42 | Marshall Islands | MHL | 1 |
| 43 | Macedonia | MKD | 1 |
| 44 | Mali | MLI | 1 |
| 45 | Mongolia | MNG | 1 |
| 46 | Northern Mariana Islands | MNP | 1 |
| 47 | Montserrat | MSR | 1 |
| 48 | Martinique | MTQ | 1 |
| 49 | Mayotte | MYT | 1 |
| 50 | Namibia | NAM | 1 |
| 51 | New Caledonia | NCL | 1 |
| 52 | Norfolk Island | NFK | 1 |
| 53 | Niue | NIU | 1 |
| 54 | Pitcairn | PCN | 1 |
| 55 | Palau | PLW | 1 |
| 56 | Papua New Guinea | PNG | 1 |
| 57 | Qatar | QAT | 1 |
| 58 | Réunion | REU | 1 |
| 59 | Rwanda | RWA | 1 |
| 60 | Singapore | SGP | 1 |
| 61 | Saint Helena | SHN | 1 |
| 62 | Svalbard and Jan Mayen | SJM | 1 |
| 63 | Solomon Islands | SLB | 1 |
| 64 | Sierra Leone | SLE | 1 |
| 65 | Saint Pierre and Miquelon | SPM | 1 |
| 66 | Sao Tome and Principe | STP | 1 |
| 67 | Suriname | SUR | 1 |
| 68 | Swaziland | SWZ | 1 |
| 69 | Seychelles | SYC | 1 |
| 70 | Turks and Caicos Islands | TCA | 1 |
| 71 | Togo | TGO | 1 |
| 72 | Tokelau | TKL | 1 |
| 73 | East Timor | TMP | 1 |
| 74 | Tonga | TON | 1 |
| 75 | Tuvalu | TUV | 1 |
| 76 | Uganda | UGA | 1 |
| 77 | Uruguay | URY | 1 |
| 78 | Holy See (Vatican City State) | VAT | 1 |
| 79 | Saint Vincent and the Grenadines | VCT | 1 |
| 80 | Virgin Islands, British | VGB | 1 |
| 81 | Virgin Islands, U.S. | VIR | 1 |
| 82 | Vanuatu | VUT | 1 |
| 83 | Wallis and Futuna | WLF | 1 |
| 84 | Samoa | WSM | 1 |
| 85 | Anguilla | AIA | 2 |
| 86 | American Samoa | ASM | 2 |
| 87 | Belize | BLZ | 2 |
| 88 | Bermuda | BMU | 2 |
| 89 | Botswana | BWA | 2 |
| 90 | Cocos (Keeling) Islands | CCK | 2 |
| 91 | Congo | COG | 2 |
| 92 | Cyprus | CYP | 2 |
| 93 | Estonia | EST | 2 |
| 94 | Micronesia, Federated States of | FSM | 2 |
| 95 | Guadeloupe | GLP | 2 |
| 96 | Gambia | GMB | 2 |
| 97 | Guam | GUM | 2 |
| 98 | Hong Kong | HKG | 2 |
| 99 | Ireland | IRL | 2 |
| 100 | Kyrgyzstan | KGZ | 2 |
| 101 | Kiribati | KIR | 2 |
| 102 | Laos | LAO | 2 |
| 103 | Lebanon | LBN | 2 |
| 104 | Liechtenstein | LIE | 2 |
| 105 | Monaco | MCO | 2 |
| 106 | Malta | MLT | 2 |
| 107 | Mauritania | MRT | 2 |
| 108 | Malawi | MWI | 2 |
| 109 | Nauru | NRU | 2 |
| 110 | Panama | PAN | 2 |
| 111 | French Polynesia | PYF | 2 |
| 112 | San Marino | SMR | 2 |
| 113 | Slovenia | SVN | 2 |
| 114 | Chad | TCD | 2 |
| 115 | Tajikistan | TJK | 2 |
| 116 | Trinidad and Tobago | TTO | 2 |
| 117 | Armenia | ARM | 3 |
| 118 | Burkina Faso | BFA | 3 |
| 119 | Bosnia and Herzegovina | BIH | 3 |
| 120 | Honduras | HND | 3 |
| 121 | Jamaica | JAM | 3 |
| 122 | Cambodia | KHM | 3 |
| 123 | Kuwait | KWT | 3 |
| 124 | Latvia | LVA | 3 |
| 125 | Mauritius | MUS | 3 |
| 126 | Niger | NER | 3 |
| 127 | Somalia | SOM | 3 |
| 128 | Slovakia | SVK | 3 |
| 129 | Afghanistan | AFG | 4 |
| 130 | Azerbaijan | AZE | 4 |
| 131 | Benin | BEN | 4 |
| 132 | Guatemala | GTM | 4 |
| 133 | Croatia | HRV | 4 |
| 134 | Haiti | HTI | 4 |
| 135 | Libyan Arab Jamahiriya | LBY | 4 |
| 136 | Moldova | MDA | 4 |
| 137 | Nicaragua | NIC | 4 |
| 138 | Turkmenistan | TKM | 4 |
| 139 | Angola | AGO | 5 |
| 140 | United Arab Emirates | ARE | 5 |
| 141 | Switzerland | CHE | 5 |
| 142 | Côte d’Ivoire | CIV | 5 |
| 143 | Denmark | DNK | 5 |
| 144 | Georgia | GEO | 5 |
| 145 | Ghana | GHA | 5 |
| 146 | Jordan | JOR | 5 |
| 147 | Lithuania | LTU | 5 |
| 148 | Madagascar | MDG | 5 |
| 149 | Norway | NOR | 5 |
| 150 | Nepal | NPL | 5 |
| 151 | Oman | OMN | 5 |
| 152 | Portugal | PRT | 5 |
| 153 | Paraguay | PRY | 5 |
| 154 | Austria | AUT | 6 |
| 155 | Dominican Republic | DOM | 6 |
| 156 | Palestine | PSE | 6 |
| 157 | Yemen | YEM | 6 |
| 158 | Zimbabwe | ZWE | 6 |
| 159 | Cameroon | CMR | 7 |
| 160 | Ethiopia | ETH | 7 |
| 161 | Finland | FIN | 7 |
| 162 | Sri Lanka | LKA | 7 |
| 163 | El Salvador | SLV | 7 |
| 164 | Zambia | ZMB | 7 |
| 165 | Bolivia | BOL | 8 |
| 166 | Greece | GRC | 8 |
| 167 | Kenya | KEN | 8 |
| 168 | Tunisia | TUN | 8 |
| 169 | Yugoslavia | YUG | 8 |
| 170 | Belgium | BEL | 9 |
| 171 | Hungary | HUN | 9 |
| 172 | New Zealand | NZL | 9 |
| 173 | Puerto Rico | PRI | 9 |
| 174 | Senegal | SEN | 9 |
| 175 | Bulgaria | BGR | 10 |
| 176 | Czech Republic | CZE | 10 |
| 177 | Tanzania | TZA | 10 |
| 178 | Syria | SYR | 11 |
| 179 | Mozambique | MOZ | 12 |
| 180 | Sudan | SDN | 12 |
| 181 | Thailand | THA | 12 |
| 182 | North Korea | PRK | 13 |
| 183 | Australia | AUS | 14 |
| 184 | Cuba | CUB | 14 |
| 185 | Israel | ISR | 14 |
| 186 | Ecuador | ECU | 15 |
| 187 | Iraq | IRQ | 15 |
| 188 | Sweden | SWE | 15 |
| 189 | Belarus | BLR | 16 |
| 190 | Myanmar | MMR | 16 |
| 191 | Uzbekistan | UZB | 17 |
| 192 | Congo, The Democratic Republic of the | COD | 18 |
| 193 | Algeria | DZA | 18 |
| 194 | Malaysia | MYS | 18 |
| 195 | Kazakstan | KAZ | 21 |
| 196 | Morocco | MAR | 22 |
| 197 | Peru | PER | 22 |
| 198 | Vietnam | VNM | 22 |
| 199 | Bangladesh | BGD | 24 |
| 200 | Saudi Arabia | SAU | 24 |
| 201 | Netherlands | NLD | 28 |
| 202 | Chile | CHL | 29 |
| 203 | Romania | ROM | 29 |
| 204 | Egypt | EGY | 37 |
| 205 | Colombia | COL | 38 |
| 206 | France | FRA | 40 |
| 207 | Venezuela | VEN | 41 |
| 208 | Taiwan | TWN | 42 |
| 209 | Poland | POL | 44 |
| 210 | South Africa | ZAF | 44 |
| 211 | Canada | CAN | 49 |
| 212 | Argentina | ARG | 57 |
| 213 | Ukraine | UKR | 57 |
| 214 | Italy | ITA | 58 |
| 215 | Spain | ESP | 59 |
| 216 | Pakistan | PAK | 59 |
| 217 | Turkey | TUR | 62 |
| 218 | Nigeria | NGA | 64 |
| 219 | Iran | IRN | 67 |
| 220 | South Korea | KOR | 70 |
| 221 | United Kingdom | GBR | 81 |
| 222 | Indonesia | IDN | 85 |
| 223 | Germany | DEU | 93 |
| 224 | Philippines | PHL | 136 |
| 225 | Mexico | MEX | 173 |
| 226 | Russian Federation | RUS | 189 |
| 227 | Japan | JPN | 248 |
| 228 | Brazil | BRA | 250 |
| 229 | United States | USA | 274 |
| 230 | India | IND | 341 |
| 231 | China | CHN | 363 |
5. Listar los países y su promedio de vida ordenados por el promedio de vida en orden descendente
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name, LifeExpectancy FROM country
ORDER BY LifeExpectancy DESC;
| Name | LifeExpectancy | |
|---|---|---|
| 0 | Andorra | 83.5 |
| 1 | Macao | 81.6 |
| 2 | San Marino | 81.1 |
| 3 | Japan | 80.7 |
| 4 | Singapore | 80.1 |
| 5 | Australia | 79.8 |
| 6 | Switzerland | 79.6 |
| 7 | Sweden | 79.6 |
| 8 | Hong Kong | 79.5 |
| 9 | Canada | 79.4 |
| 10 | Iceland | 79.4 |
| 11 | Gibraltar | 79.0 |
| 12 | Italy | 79.0 |
| 13 | Cayman Islands | 78.9 |
| 14 | Spain | 78.8 |
| 15 | France | 78.8 |
| 16 | Liechtenstein | 78.8 |
| 17 | Monaco | 78.8 |
| 18 | Norway | 78.7 |
| 19 | Israel | 78.6 |
| 20 | Aruba | 78.4 |
| 21 | Faroe Islands | 78.4 |
| 22 | Greece | 78.4 |
| 23 | Martinique | 78.3 |
| 24 | Netherlands | 78.3 |
| 25 | Virgin Islands, U.S. | 78.1 |
| 26 | Montserrat | 78.0 |
| 27 | Malta | 77.9 |
| 28 | Belgium | 77.8 |
| 29 | Guam | 77.8 |
| 30 | New Zealand | 77.8 |
| 31 | Austria | 77.7 |
| 32 | United Kingdom | 77.7 |
| 33 | Saint Pierre and Miquelon | 77.6 |
| 34 | Germany | 77.4 |
| 35 | Finland | 77.4 |
| 36 | Jordan | 77.4 |
| 37 | Luxembourg | 77.1 |
| 38 | United States | 77.1 |
| 39 | Guadeloupe | 77.0 |
| 40 | Bermuda | 76.9 |
| 41 | Ireland | 76.8 |
| 42 | Saint Helena | 76.8 |
| 43 | Cyprus | 76.7 |
| 44 | Denmark | 76.5 |
| 45 | Taiwan | 76.4 |
| 46 | Cuba | 76.2 |
| 47 | Anguilla | 76.1 |
| 48 | French Guiana | 76.1 |
| 49 | Kuwait | 76.1 |
| 50 | Costa Rica | 75.8 |
| 51 | Portugal | 75.8 |
| 52 | Chile | 75.7 |
| 53 | Puerto Rico | 75.6 |
| 54 | Libyan Arab Jamahiriya | 75.5 |
| 55 | Northern Mariana Islands | 75.5 |
| 56 | Panama | 75.5 |
| 57 | Virgin Islands, British | 75.4 |
| 58 | Jamaica | 75.2 |
| 59 | Uruguay | 75.2 |
| 60 | Argentina | 75.1 |
| 61 | American Samoa | 75.1 |
| 62 | Slovenia | 74.9 |
| 63 | French Polynesia | 74.8 |
| 64 | Netherlands Antilles | 74.7 |
| 65 | Czech Republic | 74.5 |
| 66 | South Korea | 74.4 |
| 67 | United Arab Emirates | 74.1 |
| 68 | Macedonia | 73.8 |
| 69 | Croatia | 73.7 |
| 70 | Paraguay | 73.7 |
| 71 | Slovakia | 73.7 |
| 72 | Tunisia | 73.7 |
| 73 | Brunei | 73.6 |
| 74 | Dominica | 73.4 |
| 75 | Turks and Caicos Islands | 73.3 |
| 76 | Dominican Republic | 73.2 |
| 77 | Poland | 73.2 |
| 78 | Venezuela | 73.1 |
| 79 | Bahrain | 73.0 |
| 80 | Barbados | 73.0 |
| 81 | New Caledonia | 72.8 |
| 82 | Réunion | 72.7 |
| 83 | Qatar | 72.4 |
| 84 | Yugoslavia | 72.4 |
| 85 | Saint Lucia | 72.3 |
| 86 | Saint Vincent and the Grenadines | 72.3 |
| 87 | Sri Lanka | 71.8 |
| 88 | Oman | 71.8 |
| 89 | Albania | 71.6 |
| 90 | Bosnia and Herzegovina | 71.5 |
| 91 | Mexico | 71.5 |
| 92 | China | 71.4 |
| 93 | Hungary | 71.4 |
| 94 | Palestine | 71.4 |
| 95 | Suriname | 71.4 |
| 96 | Lebanon | 71.3 |
| 97 | Solomon Islands | 71.3 |
| 98 | Bahamas | 71.1 |
| 99 | Cook Islands | 71.1 |
| 100 | Ecuador | 71.1 |
| 101 | Mauritius | 71.0 |
| 102 | Turkey | 71.0 |
| 103 | Bulgaria | 70.9 |
| 104 | Belize | 70.9 |
| 105 | Malaysia | 70.8 |
| 106 | Saint Kitts and Nevis | 70.7 |
| 107 | North Korea | 70.7 |
| 108 | Antigua and Barbuda | 70.5 |
| 109 | Seychelles | 70.4 |
| 110 | Colombia | 70.3 |
| 111 | Peru | 70.0 |
| 112 | Honduras | 69.9 |
| 113 | Romania | 69.9 |
| 114 | Algeria | 69.7 |
| 115 | Iran | 69.7 |
| 116 | El Salvador | 69.7 |
| 117 | Estonia | 69.5 |
| 118 | Vietnam | 69.3 |
| 119 | Samoa | 69.2 |
| 120 | Lithuania | 69.1 |
| 121 | Morocco | 69.1 |
| 122 | Cape Verde | 68.9 |
| 123 | Nicaragua | 68.7 |
| 124 | Micronesia, Federated States of | 68.6 |
| 125 | Palau | 68.6 |
| 126 | Thailand | 68.6 |
| 127 | Syria | 68.5 |
| 128 | Latvia | 68.4 |
| 129 | Greenland | 68.1 |
| 130 | Belarus | 68.0 |
| 131 | Indonesia | 68.0 |
| 132 | Trinidad and Tobago | 68.0 |
| 133 | Fiji Islands | 67.9 |
| 134 | Tonga | 67.9 |
| 135 | Saudi Arabia | 67.8 |
| 136 | Philippines | 67.5 |
| 137 | Mongolia | 67.3 |
| 138 | Russian Federation | 67.2 |
| 139 | Iraq | 66.5 |
| 140 | Armenia | 66.4 |
| 141 | Tuvalu | 66.3 |
| 142 | Guatemala | 66.2 |
| 143 | Ukraine | 66.0 |
| 144 | Marshall Islands | 65.5 |
| 145 | Sao Tome and Principe | 65.3 |
| 146 | Georgia | 64.5 |
| 147 | Grenada | 64.5 |
| 148 | Moldova | 64.5 |
| 149 | Tajikistan | 64.1 |
| 150 | Guyana | 64.0 |
| 151 | Bolivia | 63.7 |
| 152 | Uzbekistan | 63.7 |
| 153 | Kyrgyzstan | 63.4 |
| 154 | Egypt | 63.3 |
| 155 | Kazakstan | 63.2 |
| 156 | Papua New Guinea | 63.1 |
| 157 | Azerbaijan | 62.9 |
| 158 | Brazil | 62.9 |
| 159 | India | 62.5 |
| 160 | Maldives | 62.2 |
| 161 | Senegal | 62.2 |
| 162 | Pakistan | 61.1 |
| 163 | Turkmenistan | 60.9 |
| 164 | Nauru | 60.8 |
| 165 | Vanuatu | 60.6 |
| 166 | Bangladesh | 60.2 |
| 167 | Comoros | 60.0 |
| 168 | Kiribati | 59.8 |
| 169 | Yemen | 59.8 |
| 170 | Mayotte | 59.5 |
| 171 | Nepal | 57.8 |
| 172 | Ghana | 57.4 |
| 173 | Sudan | 56.6 |
| 174 | Cambodia | 56.5 |
| 175 | Eritrea | 55.8 |
| 176 | Madagascar | 55.0 |
| 177 | Myanmar | 54.9 |
| 178 | Cameroon | 54.8 |
| 179 | Togo | 54.7 |
| 180 | Equatorial Guinea | 53.6 |
| 181 | Gambia | 53.2 |
| 182 | Laos | 53.1 |
| 183 | Bhutan | 52.4 |
| 184 | Tanzania | 52.3 |
| 185 | Nigeria | 51.6 |
| 186 | South Africa | 51.1 |
| 187 | Liberia | 51.0 |
| 188 | Djibouti | 50.8 |
| 189 | Lesotho | 50.8 |
| 190 | Mauritania | 50.8 |
| 191 | Chad | 50.5 |
| 192 | Benin | 50.2 |
| 193 | Gabon | 50.1 |
| 194 | Western Sahara | 49.8 |
| 195 | Haiti | 49.2 |
| 196 | Guinea-Bissau | 49.0 |
| 197 | Congo, The Democratic Republic of the | 48.8 |
| 198 | Kenya | 48.0 |
| 199 | Congo | 47.4 |
| 200 | Burkina Faso | 46.7 |
| 201 | Mali | 46.7 |
| 202 | Burundi | 46.2 |
| 203 | Somalia | 46.2 |
| 204 | East Timor | 46.0 |
| 205 | Afghanistan | 45.9 |
| 206 | Guinea | 45.6 |
| 207 | Sierra Leone | 45.3 |
| 208 | Côte d’Ivoire | 45.2 |
| 209 | Ethiopia | 45.2 |
| 210 | Central African Republic | 44.0 |
| 211 | Uganda | 42.9 |
| 212 | Namibia | 42.5 |
| 213 | Niger | 41.3 |
| 214 | Swaziland | 40.4 |
| 215 | Botswana | 39.3 |
| 216 | Rwanda | 39.3 |
| 217 | Angola | 38.3 |
| 218 | Zimbabwe | 37.8 |
| 219 | Malawi | 37.6 |
| 220 | Mozambique | 37.5 |
| 221 | Zambia | 37.2 |
| 222 | Antarctica | NaN |
| 223 | French Southern territories | NaN |
| 224 | Bouvet Island | NaN |
| 225 | Cocos (Keeling) Islands | NaN |
| 226 | Christmas Island | NaN |
| 227 | Falkland Islands | NaN |
| 228 | Heard Island and McDonald Islands | NaN |
| 229 | British Indian Ocean Territory | NaN |
| 230 | Norfolk Island | NaN |
| 231 | Niue | NaN |
| 232 | Pitcairn | NaN |
| 233 | South Georgia and the South Sandwich Islands | NaN |
| 234 | Svalbard and Jan Mayen | NaN |
| 235 | Tokelau | NaN |
| 236 | United States Minor Outlying Islands | NaN |
| 237 | Holy See (Vatican City State) | NaN |
| 238 | Wallis and Futuna | NaN |
6. Selección de ciudades cuya población está entre 500,000 y 1,000,000
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name, Population FROM city
WHERE Population BETWEEN 500000 AND 1000000
ORDER BY Name;
| Name | Population | |
|---|---|---|
| 0 | Acapulco de Juárez | 721011 |
| 1 | Adelaide | 978100 |
| 2 | Agra | 891790 |
| 3 | Aguascalientes | 643360 |
| 4 | Ahvaz | 804980 |
| 5 | Allahabad | 792858 |
| 6 | Almirante Brown | 538918 |
| 7 | Amman | 1000000 |
| 8 | Amoy [Xiamen] | 627500 |
| 9 | Amritsar | 708835 |
| 10 | Amsterdam | 731200 |
| 11 | Ansan | 510314 |
| 12 | Antalya | 564914 |
| 13 | Antananarivo | 675669 |
| 14 | Anyang | 591106 |
| 15 | Arequipa | 762000 |
| 16 | Ashgabat | 540600 |
| 17 | Asunción | 557776 |
| 18 | Athenai | 772072 |
| 19 | Austin | 656562 |
| 20 | Baltimore | 651154 |
| 21 | Bamako | 809552 |
| 22 | Bandar Lampung | 680332 |
| 23 | Bangui | 524000 |
| 24 | Baotou | 980000 |
| 25 | Bareilly | 587211 |
| 26 | Barnaul | 580100 |
| 27 | Barquisimeto | 877239 |
| 28 | Bekasi | 644300 |
| 29 | Bengasi | 804000 |
| 30 | Benxi | 770000 |
| 31 | Bishkek | 589400 |
| 32 | Boston | 589141 |
| 33 | Brazzaville | 950000 |
| 34 | Bremen | 540330 |
| 35 | Bucaramanga | 515555 |
| 36 | Bulawayo | 621742 |
| 37 | Calgary | 768082 |
| 38 | Campinas | 950043 |
| 39 | Campo Grande | 649593 |
| 40 | Cartagena | 805757 |
| 41 | Cebu | 718821 |
| 42 | Centro (Villahermosa) | 519873 |
| 43 | Chandigarh | 504094 |
| 44 | Changzhou | 530000 |
| 45 | Charlotte | 540828 |
| 46 | Chiba | 863930 |
| 47 | Chiclayo | 517000 |
| 48 | Chihuahua | 670208 |
| 49 | Chisinau | 719900 |
| 50 | Chongjin | 582480 |
| 51 | Chongju | 531376 |
| 52 | Chonju | 563153 |
| 53 | Ciudad de Guatemala | 823301 |
| 54 | Ciudad Guayana | 663713 |
| 55 | Cochin (Kochi) | 564589 |
| 56 | Coimbatore | 816321 |
| 57 | Colombo | 645000 |
| 58 | Columbus | 711470 |
| 59 | Contagem | 520801 |
| 60 | Cotonou | 536827 |
| 61 | Cúcuta | 606932 |
| 62 | Culiacán | 744859 |
| 63 | Dakar | 785071 |
| 64 | Dandong | 520000 |
| 65 | Daqing | 660000 |
| 66 | Datong | 800000 |
| 67 | Denver | 554636 |
| 68 | Detroit | 951270 |
| 69 | Dortmund | 590213 |
| 70 | Dubai | 669181 |
| 71 | Duisburg | 519793 |
| 72 | Duque de Caxias | 746758 |
| 73 | Durban | 566120 |
| 74 | Dushanbe | 524000 |
| 75 | Düsseldorf | 568855 |
| 76 | Edmonton | 616306 |
| 77 | El Alto | 534466 |
| 78 | El Paso | 563662 |
| 79 | Essen | 599515 |
| 80 | Faridabad | 703592 |
| 81 | Fès | 541162 |
| 82 | Fort Worth | 534694 |
| 83 | Frankfurt am Main | 643821 |
| 84 | Freetown | 850000 |
| 85 | Funabashi | 545299 |
| 86 | Fuxin | 640000 |
| 87 | Gaziantep | 789056 |
| 88 | Genova | 636104 |
| 89 | Glasgow | 619680 |
| 90 | Gorakhpur | 505566 |
| 91 | Guadalupe | 668780 |
| 92 | Guwahati (Gauhati) | 584342 |
| 93 | Gwalior | 690765 |
| 94 | Habarovsk | 609400 |
| 95 | Hachioji | 513451 |
| 96 | Haiphong | 783133 |
| 97 | Hamamatsu | 568796 |
| 98 | Hamhung | 709730 |
| 99 | Handan | 840000 |
| 100 | Hannover | 514718 |
| 101 | Haora (Howrah) | 950435 |
| 102 | Hegang | 520000 |
| 103 | Helsinki [Helsingfors] | 555474 |
| 104 | Hermosillo | 608697 |
| 105 | Higashiosaka | 517785 |
| 106 | Hims | 507404 |
| 107 | Hohhot | 916700 |
| 108 | Huainan | 700000 |
| 109 | Hubli-Dharwad | 648298 |
| 110 | Inanda | 634065 |
| 111 | Indianapolis | 791926 |
| 112 | Irkutsk | 593700 |
| 113 | Islamabad | 524500 |
| 114 | Izevsk | 652800 |
| 115 | Jabalpur | 741927 |
| 116 | Jaboatão dos Guararapes | 558680 |
| 117 | Jacksonville | 735167 |
| 118 | Jalandhar (Jullundur) | 509510 |
| 119 | Jaroslavl | 616700 |
| 120 | Jerusalem | 633700 |
| 121 | Jinzhou | 570000 |
| 122 | Jixi | 683885 |
| 123 | João Pessoa | 584029 |
| 124 | Jodhpur | 666279 |
| 125 | Johannesburg | 756653 |
| 126 | Kagoshima | 549977 |
| 127 | Kaifeng | 510000 |
| 128 | Kampala | 890800 |
| 129 | Kano | 674100 |
| 130 | Karaj | 940968 |
| 131 | Kathmandu | 591835 |
| 132 | Kermanshah | 692986 |
| 133 | Khartum | 947483 |
| 134 | Khulna | 663340 |
| 135 | Köln | 962507 |
| 136 | Konya | 628364 |
| 137 | Kota | 537371 |
| 138 | Koyang | 518282 |
| 139 | Kraków | 738150 |
| 140 | Krasnodar | 639000 |
| 141 | Krasnojarsk | 875500 |
| 142 | Kryvyi Rig | 703000 |
| 143 | Kumamoto | 656734 |
| 144 | La Paz | 758141 |
| 145 | La Plata | 521936 |
| 146 | Lipetsk | 521000 |
| 147 | Lisboa | 563210 |
| 148 | Liuzhou | 610000 |
| 149 | Lódz | 800110 |
| 150 | Lomas de Zamora | 622013 |
| 151 | Lubumbashi | 851381 |
| 152 | Luoyang | 760000 |
| 153 | Lviv | 788000 |
| 154 | Maceió | 786288 |
| 155 | Madurai | 977856 |
| 156 | Málaga | 530553 |
| 157 | Malang | 716862 |
| 158 | Managua | 959000 |
| 159 | Mandalay | 885300 |
| 160 | Mar del Plata | 512880 |
| 161 | Marrakech | 621914 |
| 162 | Marseille | 798430 |
| 163 | Mbuji-Mayi | 806475 |
| 164 | Medina | 608300 |
| 165 | Meerut | 753778 |
| 166 | Mekka | 965700 |
| 167 | Memphis | 650100 |
| 168 | Mérida | 703324 |
| 169 | Mersin (Içel) | 587212 |
| 170 | Mexicali | 764902 |
| 171 | Milwaukee | 596974 |
| 172 | Mississauga | 608072 |
| 173 | Mogadishu | 997000 |
| 174 | Monrovia | 850000 |
| 175 | Morelia | 619958 |
| 176 | Mosul | 879000 |
| 177 | Mudanjiang | 570000 |
| 178 | Mykolajiv | 508000 |
| 179 | N´Djaména | 530965 |
| 180 | Nabereznyje Tšelny | 514700 |
| 181 | Nampo | 566200 |
| 182 | Nashik (Nasik) | 656925 |
| 183 | Nashville-Davidson | 569891 |
| 184 | Natal | 688955 |
| 185 | Naucalpan de Juárez | 857511 |
| 186 | North York | 622632 |
| 187 | Nouakchott | 667300 |
| 188 | Nova Iguaçu | 862225 |
| 189 | Novokuznetsk | 561600 |
| 190 | Ogbomosho | 730000 |
| 191 | Okayama | 624269 |
| 192 | Oklahoma City | 506132 |
| 193 | Oran | 609823 |
| 194 | Orenburg | 523600 |
| 195 | Osasco | 659604 |
| 196 | Oslo | 508726 |
| 197 | Ouagadougou | 824000 |
| 198 | Padang | 534474 |
| 199 | Palermo | 683794 |
| 200 | Panchiao | 523850 |
| 201 | Pasig | 505058 |
| 202 | Patna | 917243 |
| 203 | Penza | 532200 |
| 204 | Peshawar | 988005 |
| 205 | Phnom Penh | 570155 |
| 206 | Pikine | 855287 |
| 207 | Pimpri-Chinchwad | 517083 |
| 208 | Pohang | 508899 |
| 209 | Pointe-Noire | 500000 |
| 210 | Port Elizabeth | 752319 |
| 211 | Port-au-Prince | 884472 |
| 212 | Portland | 529121 |
| 213 | Poznan | 576899 |
| 214 | Pretoria | 658630 |
| 215 | Puchon | 779412 |
| 216 | Qom | 777677 |
| 217 | Querétaro | 639839 |
| 218 | Quetta | 560307 |
| 219 | Quilmes | 559249 |
| 220 | Rabat | 623457 |
| 221 | Rajkot | 559407 |
| 222 | Ranchi | 599306 |
| 223 | Riga | 764328 |
| 224 | Rjazan | 529900 |
| 225 | Rosario | 907718 |
| 226 | Rotterdam | 593321 |
| 227 | Sagamihara | 586300 |
| 228 | Sakai | 797735 |
| 229 | Salé | 504420 |
| 230 | Saltillo | 577352 |
| 231 | San Francisco | 776733 |
| 232 | San Jose | 894943 |
| 233 | San Luis Potosí | 669353 |
| 234 | Sanaa | 503600 |
| 235 | Santa Cruz de la Sierra | 935361 |
| 236 | Santo André | 630073 |
| 237 | São Bernardo do Campo | 723132 |
| 238 | São Gonçalo | 869254 |
| 239 | São José dos Campos | 515553 |
| 240 | São Luís | 837588 |
| 241 | Saratov | 874000 |
| 242 | Scarborough | 594501 |
| 243 | Seattle | 563374 |
| 244 | Sendai | 989975 |
| 245 | Sevilla | 701927 |
| 246 | Shambajinagar (Aurangabad) | 573272 |
| 247 | Shantou | 580000 |
| 248 | Sharq al-Nil | 700887 |
| 249 | Shenzhen | 950500 |
| 250 | Shubra al-Khayma | 870716 |
| 251 | Solapur (Sholapur) | 604215 |
| 252 | Songnam | 869094 |
| 253 | Soweto | 904165 |
| 254 | Srinagar | 892506 |
| 255 | Stockholm | 750348 |
| 256 | Stuttgart | 582443 |
| 257 | Surakarta | 518600 |
| 258 | Suwon | 755550 |
| 259 | Suzhou | 710000 |
| 260 | Taichung | 940589 |
| 261 | Tainan | 728060 |
| 262 | Tanger | 521735 |
| 263 | Tegucigalpa | 813900 |
| 264 | Teresina | 691942 |
| 265 | Thane (Thana) | 803389 |
| 266 | Thiruvananthapuram (Trivandrum | 524006 |
| 267 | Tjumen | 503400 |
| 268 | Tlalnepantla de Baz | 720755 |
| 269 | Toljatti | 722900 |
| 270 | Toluca | 665617 |
| 271 | Torino | 903705 |
| 272 | Toronto | 688275 |
| 273 | Torreón | 529093 |
| 274 | Trujillo | 652000 |
| 275 | Tula | 506100 |
| 276 | Tunis | 690600 |
| 277 | Ulan Bator | 773700 |
| 278 | Uljanovsk | 667400 |
| 279 | Valencia | 794246 |
| 280 | Valencia | 739412 |
| 281 | Vancouver | 514008 |
| 282 | Varanasi (Benares) | 929270 |
| 283 | Vientiane | 531800 |
| 284 | Vijayawada | 701827 |
| 285 | Vilnius | 577969 |
| 286 | Vishakhapatnam | 752037 |
| 287 | Vladivostok | 606200 |
| 288 | Volgograd | 993400 |
| 289 | Voronez | 907700 |
| 290 | Washington | 572059 |
| 291 | Winnipeg | 618477 |
| 292 | Wroclaw | 636765 |
| 293 | Wuxi | 830000 |
| 294 | Xining | 700200 |
| 295 | Xuzhou | 810000 |
| 296 | Yichun | 800000 |
| 297 | Yinchuan | 544500 |
| 298 | Zagreb | 706770 |
| 299 | Zamboanga | 601794 |
| 300 | Zaporizzja | 848000 |
| 301 | Zaragoza | 603367 |
| 302 | Zhangjiakou | 530000 |
7. Listar los idiomas hablados en países donde la población es mayor a 50 millones
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT DISTINCT Language, Name FROM countrylanguage
JOIN country ON countrylanguage.CountryCode=country.Code
WHERE Population>5e6;
| Language | Name | |
|---|---|---|
| 0 | Balochi | Afghanistan |
| 1 | Dari | Afghanistan |
| 2 | Pashto | Afghanistan |
| 3 | Turkmenian | Afghanistan |
| 4 | Uzbek | Afghanistan |
| 5 | Ambo | Angola |
| 6 | Chokwe | Angola |
| 7 | Kongo | Angola |
| 8 | Luchazi | Angola |
| 9 | Luimbe-nganguela | Angola |
| 10 | Luvale | Angola |
| 11 | Mbundu | Angola |
| 12 | Nyaneka-nkhumbi | Angola |
| 13 | Ovimbundu | Angola |
| 14 | Indian Languages | Argentina |
| 15 | Italian | Argentina |
| 16 | Spanish | Argentina |
| 17 | Arabic | Australia |
| 18 | Canton Chinese | Australia |
| 19 | English | Australia |
| 20 | German | Australia |
| 21 | Greek | Australia |
| 22 | Italian | Australia |
| 23 | Serbo-Croatian | Australia |
| 24 | Vietnamese | Australia |
| 25 | Czech | Austria |
| 26 | German | Austria |
| 27 | Hungarian | Austria |
| 28 | Polish | Austria |
| 29 | Romanian | Austria |
| 30 | Serbo-Croatian | Austria |
| 31 | Slovene | Austria |
| 32 | Turkish | Austria |
| 33 | Armenian | Azerbaijan |
| 34 | Azerbaijani | Azerbaijan |
| 35 | Lezgian | Azerbaijan |
| 36 | Russian | Azerbaijan |
| 37 | French | Burundi |
| 38 | Kirundi | Burundi |
| 39 | Swahili | Burundi |
| 40 | Arabic | Belgium |
| 41 | Dutch | Belgium |
| 42 | French | Belgium |
| 43 | German | Belgium |
| 44 | Italian | Belgium |
| 45 | Turkish | Belgium |
| 46 | Adja | Benin |
| 47 | Aizo | Benin |
| 48 | Bariba | Benin |
| 49 | Fon | Benin |
| 50 | Ful | Benin |
| 51 | Joruba | Benin |
| 52 | Somba | Benin |
| 53 | Busansi | Burkina Faso |
| 54 | Dagara | Burkina Faso |
| 55 | Dyula | Burkina Faso |
| 56 | Ful | Burkina Faso |
| 57 | Gurma | Burkina Faso |
| 58 | Mossi | Burkina Faso |
| 59 | Bengali | Bangladesh |
| 60 | Chakma | Bangladesh |
| 61 | Garo | Bangladesh |
| 62 | Khasi | Bangladesh |
| 63 | Marma | Bangladesh |
| 64 | Santhali | Bangladesh |
| 65 | Tripuri | Bangladesh |
| 66 | Bulgariana | Bulgaria |
| 67 | Macedonian | Bulgaria |
| 68 | Romani | Bulgaria |
| 69 | Turkish | Bulgaria |
| 70 | Belorussian | Belarus |
| 71 | Polish | Belarus |
| 72 | Russian | Belarus |
| 73 | Ukrainian | Belarus |
| 74 | Aimará | Bolivia |
| 75 | Guaraní | Bolivia |
| 76 | Ketšua | Bolivia |
| 77 | Spanish | Bolivia |
| 78 | German | Brazil |
| 79 | Indian Languages | Brazil |
| 80 | Italian | Brazil |
| 81 | Japanese | Brazil |
| 82 | Portuguese | Brazil |
| 83 | Chinese | Canada |
| 84 | Dutch | Canada |
| 85 | English | Canada |
| 86 | Eskimo Languages | Canada |
| 87 | French | Canada |
| 88 | German | Canada |
| 89 | Italian | Canada |
| 90 | Polish | Canada |
| 91 | Portuguese | Canada |
| 92 | Punjabi | Canada |
| 93 | Spanish | Canada |
| 94 | Ukrainian | Canada |
| 95 | French | Switzerland |
| 96 | German | Switzerland |
| 97 | Italian | Switzerland |
| 98 | Romansh | Switzerland |
| 99 | Aimará | Chile |
| 100 | Araucan | Chile |
| 101 | Rapa nui | Chile |
| 102 | Spanish | Chile |
| 103 | Chinese | China |
| 104 | Dong | China |
| 105 | Hui | China |
| 106 | Mantšu | China |
| 107 | Miao | China |
| 108 | Mongolian | China |
| 109 | Puyi | China |
| 110 | Tibetan | China |
| 111 | Tujia | China |
| 112 | Uighur | China |
| 113 | Yi | China |
| 114 | Zhuang | China |
| 115 | [South]Mande | Côte d’Ivoire |
| 116 | Akan | Côte d’Ivoire |
| 117 | Gur | Côte d’Ivoire |
| 118 | Kru | Côte d’Ivoire |
| 119 | Malinke | Côte d’Ivoire |
| 120 | Bamileke-bamum | Cameroon |
| 121 | Duala | Cameroon |
| 122 | Fang | Cameroon |
| 123 | Ful | Cameroon |
| 124 | Maka | Cameroon |
| 125 | Mandara | Cameroon |
| 126 | Masana | Cameroon |
| 127 | Tikar | Cameroon |
| 128 | Boa | Congo, The Democratic Republic of the |
| 129 | Chokwe | Congo, The Democratic Republic of the |
| 130 | Kongo | Congo, The Democratic Republic of the |
| 131 | Luba | Congo, The Democratic Republic of the |
| 132 | Mongo | Congo, The Democratic Republic of the |
| 133 | Ngala and Bangi | Congo, The Democratic Republic of the |
| 134 | Rundi | Congo, The Democratic Republic of the |
| 135 | Rwanda | Congo, The Democratic Republic of the |
| 136 | Teke | Congo, The Democratic Republic of the |
| 137 | Zande | Congo, The Democratic Republic of the |
| 138 | Arawakan | Colombia |
| 139 | Caribbean | Colombia |
| 140 | Chibcha | Colombia |
| 141 | Creole English | Colombia |
| 142 | Spanish | Colombia |
| 143 | Spanish | Cuba |
| 144 | Czech | Czech Republic |
| 145 | German | Czech Republic |
| 146 | Hungarian | Czech Republic |
| 147 | Moravian | Czech Republic |
| 148 | Polish | Czech Republic |
| 149 | Romani | Czech Republic |
| 150 | Silesiana | Czech Republic |
| 151 | Slovak | Czech Republic |
| 152 | German | Germany |
| 153 | Greek | Germany |
| 154 | Italian | Germany |
| 155 | Polish | Germany |
| 156 | Southern Slavic Languages | Germany |
| 157 | Turkish | Germany |
| 158 | Arabic | Denmark |
| 159 | Danish | Denmark |
| 160 | English | Denmark |
| 161 | German | Denmark |
| 162 | Norwegian | Denmark |
| 163 | Swedish | Denmark |
| 164 | Turkish | Denmark |
| 165 | Creole French | Dominican Republic |
| 166 | Spanish | Dominican Republic |
| 167 | Arabic | Algeria |
| 168 | Berberi | Algeria |
| 169 | Ketšua | Ecuador |
| 170 | Spanish | Ecuador |
| 171 | Arabic | Egypt |
| 172 | Sinaberberi | Egypt |
| 173 | Basque | Spain |
| 174 | Catalan | Spain |
| 175 | Galecian | Spain |
| 176 | Spanish | Spain |
| 177 | Amhara | Ethiopia |
| 178 | Gurage | Ethiopia |
| 179 | Oromo | Ethiopia |
| 180 | Sidamo | Ethiopia |
| 181 | Somali | Ethiopia |
| 182 | Tigrinja | Ethiopia |
| 183 | Walaita | Ethiopia |
| 184 | Estonian | Finland |
| 185 | Finnish | Finland |
| 186 | Russian | Finland |
| 187 | Saame | Finland |
| 188 | Swedish | Finland |
| 189 | Arabic | France |
| 190 | French | France |
| 191 | Italian | France |
| 192 | Portuguese | France |
| 193 | Spanish | France |
| 194 | Turkish | France |
| 195 | English | United Kingdom |
| 196 | Gaeli | United Kingdom |
| 197 | Kymri | United Kingdom |
| 198 | Akan | Ghana |
| 199 | Ewe | Ghana |
| 200 | Ga-adangme | Ghana |
| 201 | Gurma | Ghana |
| 202 | Joruba | Ghana |
| 203 | Mossi | Ghana |
| 204 | Ful | Guinea |
| 205 | Kissi | Guinea |
| 206 | Kpelle | Guinea |
| 207 | Loma | Guinea |
| 208 | Malinke | Guinea |
| 209 | Susu | Guinea |
| 210 | Yalunka | Guinea |
| 211 | Greek | Greece |
| 212 | Turkish | Greece |
| 213 | Cakchiquel | Guatemala |
| 214 | Kekchí | Guatemala |
| 215 | Mam | Guatemala |
| 216 | Quiché | Guatemala |
| 217 | Spanish | Guatemala |
| 218 | Canton Chinese | Hong Kong |
| 219 | Chiu chau | Hong Kong |
| 220 | English | Hong Kong |
| 221 | Fukien | Hong Kong |
| 222 | Hakka | Hong Kong |
| 223 | Creole English | Honduras |
| 224 | Garifuna | Honduras |
| 225 | Miskito | Honduras |
| 226 | Spanish | Honduras |
| 227 | French | Haiti |
| 228 | Haiti Creole | Haiti |
| 229 | German | Hungary |
| 230 | Hungarian | Hungary |
| 231 | Romani | Hungary |
| 232 | Romanian | Hungary |
| 233 | Serbo-Croatian | Hungary |
| 234 | Slovak | Hungary |
| 235 | Bali | Indonesia |
| 236 | Banja | Indonesia |
| 237 | Batakki | Indonesia |
| 238 | Bugi | Indonesia |
| 239 | Javanese | Indonesia |
| 240 | Madura | Indonesia |
| 241 | Malay | Indonesia |
| 242 | Minangkabau | Indonesia |
| 243 | Sunda | Indonesia |
| 244 | Asami | India |
| 245 | Bengali | India |
| 246 | Gujarati | India |
| 247 | Hindi | India |
| 248 | Kannada | India |
| 249 | Malajalam | India |
| 250 | Marathi | India |
| 251 | Orija | India |
| 252 | Punjabi | India |
| 253 | Tamil | India |
| 254 | Telugu | India |
| 255 | Urdu | India |
| 256 | Arabic | Iran |
| 257 | Azerbaijani | Iran |
| 258 | Bakhtyari | Iran |
| 259 | Balochi | Iran |
| 260 | Gilaki | Iran |
| 261 | Kurdish | Iran |
| 262 | Luri | Iran |
| 263 | Mazandarani | Iran |
| 264 | Persian | Iran |
| 265 | Turkmenian | Iran |
| 266 | Arabic | Iraq |
| 267 | Assyrian | Iraq |
| 268 | Azerbaijani | Iraq |
| 269 | Kurdish | Iraq |
| 270 | Persian | Iraq |
| 271 | Arabic | Israel |
| 272 | Hebrew | Israel |
| 273 | Russian | Israel |
| 274 | Albaniana | Italy |
| 275 | French | Italy |
| 276 | Friuli | Italy |
| 277 | German | Italy |
| 278 | Italian | Italy |
| 279 | Romani | Italy |
| 280 | Sardinian | Italy |
| 281 | Slovene | Italy |
| 282 | Arabic | Jordan |
| 283 | Armenian | Jordan |
| 284 | Circassian | Jordan |
| 285 | Ainu | Japan |
| 286 | Chinese | Japan |
| 287 | English | Japan |
| 288 | Japanese | Japan |
| 289 | Korean | Japan |
| 290 | Philippene Languages | Japan |
| 291 | German | Kazakstan |
| 292 | Kazakh | Kazakstan |
| 293 | Russian | Kazakstan |
| 294 | Tatar | Kazakstan |
| 295 | Ukrainian | Kazakstan |
| 296 | Uzbek | Kazakstan |
| 297 | Gusii | Kenya |
| 298 | Kalenjin | Kenya |
| 299 | Kamba | Kenya |
| 300 | Kikuyu | Kenya |
| 301 | Luhya | Kenya |
| 302 | Luo | Kenya |
| 303 | Masai | Kenya |
| 304 | Meru | Kenya |
| 305 | Nyika | Kenya |
| 306 | Turkana | Kenya |
| 307 | Chinese | Cambodia |
| 308 | Khmer | Cambodia |
| 309 | Tšam | Cambodia |
| 310 | Vietnamese | Cambodia |
| 311 | Chinese | South Korea |
| 312 | Korean | South Korea |
| 313 | Lao | Laos |
| 314 | Lao-Soung | Laos |
| 315 | Mon-khmer | Laos |
| 316 | Thai | Laos |
| 317 | Arabic | Libyan Arab Jamahiriya |
| 318 | Berberi | Libyan Arab Jamahiriya |
| 319 | Mixed Languages | Sri Lanka |
| 320 | Singali | Sri Lanka |
| 321 | Tamil | Sri Lanka |
| 322 | Arabic | Morocco |
| 323 | Berberi | Morocco |
| 324 | French | Madagascar |
| 325 | Malagasy | Madagascar |
| 326 | Mixtec | Mexico |
| 327 | Náhuatl | Mexico |
| 328 | Otomí | Mexico |
| 329 | Spanish | Mexico |
| 330 | Yucatec | Mexico |
| 331 | Zapotec | Mexico |
| 332 | Bambara | Mali |
| 333 | Ful | Mali |
| 334 | Senufo and Minianka | Mali |
| 335 | Songhai | Mali |
| 336 | Soninke | Mali |
| 337 | Tamashek | Mali |
| 338 | Burmese | Myanmar |
| 339 | Chin | Myanmar |
| 340 | Kachin | Myanmar |
| 341 | Karen | Myanmar |
| 342 | Kayah | Myanmar |
| 343 | Mon | Myanmar |
| 344 | Rakhine | Myanmar |
| 345 | Shan | Myanmar |
| 346 | Chuabo | Mozambique |
| 347 | Lomwe | Mozambique |
| 348 | Makua | Mozambique |
| 349 | Marendje | Mozambique |
| 350 | Nyanja | Mozambique |
| 351 | Ronga | Mozambique |
| 352 | Sena | Mozambique |
| 353 | Shona | Mozambique |
| 354 | Tsonga | Mozambique |
| 355 | Tswa | Mozambique |
| 356 | Chichewa | Malawi |
| 357 | Lomwe | Malawi |
| 358 | Ngoni | Malawi |
| 359 | Yao | Malawi |
| 360 | Chinese | Malaysia |
| 361 | Dusun | Malaysia |
| 362 | English | Malaysia |
| 363 | Iban | Malaysia |
| 364 | Malay | Malaysia |
| 365 | Tamil | Malaysia |
| 366 | Ful | Niger |
| 367 | Hausa | Niger |
| 368 | Kanuri | Niger |
| 369 | Songhai-zerma | Niger |
| 370 | Tamashek | Niger |
| 371 | Bura | Nigeria |
| 372 | Edo | Nigeria |
| 373 | Ful | Nigeria |
| 374 | Hausa | Nigeria |
| 375 | Ibibio | Nigeria |
| 376 | Ibo | Nigeria |
| 377 | Ijo | Nigeria |
| 378 | Joruba | Nigeria |
| 379 | Kanuri | Nigeria |
| 380 | Tiv | Nigeria |
| 381 | Creole English | Nicaragua |
| 382 | Miskito | Nicaragua |
| 383 | Spanish | Nicaragua |
| 384 | Sumo | Nicaragua |
| 385 | Arabic | Netherlands |
| 386 | Dutch | Netherlands |
| 387 | Fries | Netherlands |
| 388 | Turkish | Netherlands |
| 389 | Bhojpuri | Nepal |
| 390 | Hindi | Nepal |
| 391 | Maithili | Nepal |
| 392 | Nepali | Nepal |
| 393 | Newari | Nepal |
| 394 | Tamang | Nepal |
| 395 | Tharu | Nepal |
| 396 | Balochi | Pakistan |
| 397 | Brahui | Pakistan |
| 398 | Hindko | Pakistan |
| 399 | Pashto | Pakistan |
| 400 | Punjabi | Pakistan |
| 401 | Saraiki | Pakistan |
| 402 | Sindhi | Pakistan |
| 403 | Urdu | Pakistan |
| 404 | Aimará | Peru |
| 405 | Ketšua | Peru |
| 406 | Spanish | Peru |
| 407 | Bicol | Philippines |
| 408 | Cebuano | Philippines |
| 409 | Hiligaynon | Philippines |
| 410 | Ilocano | Philippines |
| 411 | Maguindanao | Philippines |
| 412 | Maranao | Philippines |
| 413 | Pampango | Philippines |
| 414 | Pangasinan | Philippines |
| 415 | Pilipino | Philippines |
| 416 | Waray-waray | Philippines |
| 417 | Belorussian | Poland |
| 418 | German | Poland |
| 419 | Polish | Poland |
| 420 | Ukrainian | Poland |
| 421 | Chinese | North Korea |
| 422 | Korean | North Korea |
| 423 | Portuguese | Portugal |
| 424 | German | Paraguay |
| 425 | Guaraní | Paraguay |
| 426 | Portuguese | Paraguay |
| 427 | Spanish | Paraguay |
| 428 | German | Romania |
| 429 | Hungarian | Romania |
| 430 | Romani | Romania |
| 431 | Romanian | Romania |
| 432 | Serbo-Croatian | Romania |
| 433 | Ukrainian | Romania |
| 434 | Avarian | Russian Federation |
| 435 | Bashkir | Russian Federation |
| 436 | Belorussian | Russian Federation |
| 437 | Chechen | Russian Federation |
| 438 | Chuvash | Russian Federation |
| 439 | Kazakh | Russian Federation |
| 440 | Mari | Russian Federation |
| 441 | Mordva | Russian Federation |
| 442 | Russian | Russian Federation |
| 443 | Tatar | Russian Federation |
| 444 | Udmur | Russian Federation |
| 445 | Ukrainian | Russian Federation |
| 446 | French | Rwanda |
| 447 | Rwanda | Rwanda |
| 448 | Arabic | Saudi Arabia |
| 449 | Arabic | Sudan |
| 450 | Bari | Sudan |
| 451 | Beja | Sudan |
| 452 | Chilluk | Sudan |
| 453 | Dinka | Sudan |
| 454 | Fur | Sudan |
| 455 | Lotuko | Sudan |
| 456 | Nubian Languages | Sudan |
| 457 | Nuer | Sudan |
| 458 | Zande | Sudan |
| 459 | Diola | Senegal |
| 460 | Ful | Senegal |
| 461 | Malinke | Senegal |
| 462 | Serer | Senegal |
| 463 | Soninke | Senegal |
| 464 | Wolof | Senegal |
| 465 | Nahua | El Salvador |
| 466 | Spanish | El Salvador |
| 467 | Arabic | Somalia |
| 468 | Somali | Somalia |
| 469 | Czech and Moravian | Slovakia |
| 470 | Hungarian | Slovakia |
| 471 | Romani | Slovakia |
| 472 | Slovak | Slovakia |
| 473 | Ukrainian and Russian | Slovakia |
| 474 | Arabic | Sweden |
| 475 | Finnish | Sweden |
| 476 | Norwegian | Sweden |
| 477 | Southern Slavic Languages | Sweden |
| 478 | Spanish | Sweden |
| 479 | Swedish | Sweden |
| 480 | Arabic | Syria |
| 481 | Kurdish | Syria |
| 482 | Arabic | Chad |
| 483 | Gorane | Chad |
| 484 | Hadjarai | Chad |
| 485 | Kanem-bornu | Chad |
| 486 | Mayo-kebbi | Chad |
| 487 | Ouaddai | Chad |
| 488 | Sara | Chad |
| 489 | Tandjile | Chad |
| 490 | Chinese | Thailand |
| 491 | Khmer | Thailand |
| 492 | Kuy | Thailand |
| 493 | Lao | Thailand |
| 494 | Malay | Thailand |
| 495 | Thai | Thailand |
| 496 | Russian | Tajikistan |
| 497 | Tadzhik | Tajikistan |
| 498 | Uzbek | Tajikistan |
| 499 | Arabic | Tunisia |
| 500 | Arabic-French | Tunisia |
| 501 | Arabic-French-English | Tunisia |
| 502 | Arabic | Turkey |
| 503 | Kurdish | Turkey |
| 504 | Turkish | Turkey |
| 505 | Ami | Taiwan |
| 506 | Atayal | Taiwan |
| 507 | Hakka | Taiwan |
| 508 | Mandarin Chinese | Taiwan |
| 509 | Min | Taiwan |
| 510 | Paiwan | Taiwan |
| 511 | Chaga and Pare | Tanzania |
| 512 | Gogo | Tanzania |
| 513 | Ha | Tanzania |
| 514 | Haya | Tanzania |
| 515 | Hehet | Tanzania |
| 516 | Luguru | Tanzania |
| 517 | Makonde | Tanzania |
| 518 | Nyakusa | Tanzania |
| 519 | Nyamwesi | Tanzania |
| 520 | Shambala | Tanzania |
| 521 | Swahili | Tanzania |
| 522 | Acholi | Uganda |
| 523 | Ganda | Uganda |
| 524 | Gisu | Uganda |
| 525 | Kiga | Uganda |
| 526 | Lango | Uganda |
| 527 | Lugbara | Uganda |
| 528 | Nkole | Uganda |
| 529 | Rwanda | Uganda |
| 530 | Soga | Uganda |
| 531 | Teso | Uganda |
| 532 | Belorussian | Ukraine |
| 533 | Bulgariana | Ukraine |
| 534 | Hungarian | Ukraine |
| 535 | Polish | Ukraine |
| 536 | Romanian | Ukraine |
| 537 | Russian | Ukraine |
| 538 | Ukrainian | Ukraine |
| 539 | Chinese | United States |
| 540 | English | United States |
| 541 | French | United States |
| 542 | German | United States |
| 543 | Italian | United States |
| 544 | Japanese | United States |
| 545 | Korean | United States |
| 546 | Polish | United States |
| 547 | Portuguese | United States |
| 548 | Spanish | United States |
| 549 | Tagalog | United States |
| 550 | Vietnamese | United States |
| 551 | Karakalpak | Uzbekistan |
| 552 | Kazakh | Uzbekistan |
| 553 | Russian | Uzbekistan |
| 554 | Tadzhik | Uzbekistan |
| 555 | Tatar | Uzbekistan |
| 556 | Uzbek | Uzbekistan |
| 557 | Goajiro | Venezuela |
| 558 | Spanish | Venezuela |
| 559 | Warrau | Venezuela |
| 560 | Chinese | Vietnam |
| 561 | Khmer | Vietnam |
| 562 | Man | Vietnam |
| 563 | Miao | Vietnam |
| 564 | Muong | Vietnam |
| 565 | Nung | Vietnam |
| 566 | Thai | Vietnam |
| 567 | Tho | Vietnam |
| 568 | Vietnamese | Vietnam |
| 569 | Arabic | Yemen |
| 570 | Soqutri | Yemen |
| 571 | Albaniana | Yugoslavia |
| 572 | Hungarian | Yugoslavia |
| 573 | Macedonian | Yugoslavia |
| 574 | Romani | Yugoslavia |
| 575 | Serbo-Croatian | Yugoslavia |
| 576 | Slovak | Yugoslavia |
| 577 | Afrikaans | South Africa |
| 578 | English | South Africa |
| 579 | Ndebele | South Africa |
| 580 | Northsotho | South Africa |
| 581 | Southsotho | South Africa |
| 582 | Swazi | South Africa |
| 583 | Tsonga | South Africa |
| 584 | Tswana | South Africa |
| 585 | Venda | South Africa |
| 586 | Xhosa | South Africa |
| 587 | Zulu | South Africa |
| 588 | Bemba | Zambia |
| 589 | Chewa | Zambia |
| 590 | Lozi | Zambia |
| 591 | Nsenga | Zambia |
| 592 | Nyanja | Zambia |
| 593 | Tonga | Zambia |
| 594 | English | Zimbabwe |
| 595 | Ndebele | Zimbabwe |
| 596 | Nyanja | Zimbabwe |
| 597 | Shona | Zimbabwe |
8. Calcular el promedio de población por ciudad en cada país
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT country.Name, AVG(city.Population)
FROM city
JOIN country ON city.CountryCode=country.Code
GROUP BY country.Name;
| Name | AVG(city.Population) | |
|---|---|---|
| 0 | Afghanistan | 5.830250e+05 |
| 1 | Netherlands | 1.850018e+05 |
| 2 | Netherlands Antilles | 2.345000e+03 |
| 3 | Albania | 2.700000e+05 |
| 4 | Algeria | 2.884544e+05 |
| 5 | American Samoa | 3.761500e+03 |
| 6 | Andorra | 2.118900e+04 |
| 7 | Angola | 5.123200e+05 |
| 8 | Anguilla | 7.780000e+02 |
| 9 | Antigua and Barbuda | 2.400000e+04 |
| 10 | United Arab Emirates | 3.456672e+05 |
| 11 | Argentina | 3.508169e+05 |
| 12 | Armenia | 5.443667e+05 |
| 13 | Aruba | 2.903400e+04 |
| 14 | Australia | 8.081190e+05 |
| 15 | Azerbaijan | 6.160000e+05 |
| 16 | Bahamas | 1.720000e+05 |
| 17 | Bahrain | 1.480000e+05 |
| 18 | Bangladesh | 3.570794e+05 |
| 19 | Barbados | 6.070000e+03 |
| 20 | Belgium | 1.788136e+05 |
| 21 | Belize | 3.145750e+04 |
| 22 | Benin | 2.421258e+05 |
| 23 | Bermuda | 1.500000e+03 |
| 24 | Bhutan | 2.200000e+04 |
| 25 | Bolivia | 4.223305e+05 |
| 26 | Bosnia and Herzegovina | 1.997020e+05 |
| 27 | Botswana | 1.574110e+05 |
| 28 | Brazil | 3.435074e+05 |
| 29 | United Kingdom | 2.769960e+05 |
| 30 | Virgin Islands, British | 8.000000e+03 |
| 31 | Brunei | 2.148400e+04 |
| 32 | Bulgaria | 2.696915e+05 |
| 33 | Burkina Faso | 4.096667e+05 |
| 34 | Burundi | 3.000000e+05 |
| 35 | Cayman Islands | 1.960000e+04 |
| 36 | Chile | 3.351024e+05 |
| 37 | Cook Islands | 1.190000e+04 |
| 38 | Costa Rica | 3.391310e+05 |
| 39 | Djibouti | 3.830000e+05 |
| 40 | Dominica | 1.624300e+04 |
| 41 | Dominican Republic | 4.063793e+05 |
| 42 | Ecuador | 3.829428e+05 |
| 43 | Egypt | 5.427859e+05 |
| 44 | El Salvador | 1.626044e+05 |
| 45 | Eritrea | 4.310000e+05 |
| 46 | Spain | 2.825286e+05 |
| 47 | South Africa | 3.453720e+05 |
| 48 | Ethiopia | 4.557620e+05 |
| 49 | Falkland Islands | 1.636000e+03 |
| 50 | Fiji Islands | 7.736600e+04 |
| 51 | Philippines | 2.274617e+05 |
| 52 | Faroe Islands | 1.454200e+04 |
| 53 | Gabon | 4.190000e+05 |
| 54 | Gambia | 7.246300e+04 |
| 55 | Georgia | 3.761800e+05 |
| 56 | Ghana | 3.639778e+05 |
| 57 | Gibraltar | 2.702500e+04 |
| 58 | Grenada | 4.621000e+03 |
| 59 | Greenland | 1.344500e+04 |
| 60 | Guadeloupe | 3.769000e+04 |
| 61 | Guam | 5.319500e+03 |
| 62 | Guatemala | 3.062970e+05 |
| 63 | Guinea | 1.090610e+06 |
| 64 | Guinea-Bissau | 2.410000e+05 |
| 65 | Guyana | 2.540000e+05 |
| 66 | Haiti | 3.793345e+05 |
| 67 | Honduras | 4.290000e+05 |
| 68 | Hong Kong | 1.650316e+06 |
| 69 | Svalbard and Jan Mayen | 1.438000e+03 |
| 70 | Indonesia | 4.410082e+05 |
| 71 | India | 3.615793e+05 |
| 72 | Iraq | 5.950694e+05 |
| 73 | Iran | 3.885521e+05 |
| 74 | Ireland | 3.045205e+05 |
| 75 | Iceland | 1.091840e+05 |
| 76 | Israel | 2.009286e+05 |
| 77 | Italy | 2.601210e+05 |
| 78 | East Timor | 4.790000e+04 |
| 79 | Austria | 3.973788e+05 |
| 80 | Jamaica | 1.047133e+05 |
| 81 | Japan | 3.143754e+05 |
| 82 | Yemen | 2.906167e+05 |
| 83 | Jordan | 3.695354e+05 |
| 84 | Christmas Island | 7.000000e+02 |
| 85 | Yugoslavia | 2.736884e+05 |
| 86 | Cambodia | 2.683517e+05 |
| 87 | Cameroon | 5.032220e+05 |
| 88 | Canada | 2.586498e+05 |
| 89 | Cape Verde | 9.480000e+04 |
| 90 | Kazakstan | 2.611524e+05 |
| 91 | Kenya | 4.403491e+05 |
| 92 | Central African Republic | 5.240000e+05 |
| 93 | China | 4.847207e+05 |
| 94 | Kyrgyzstan | 4.060500e+05 |
| 95 | Kiribati | 3.640500e+03 |
| 96 | Colombia | 5.329208e+05 |
| 97 | Comoros | 3.600000e+04 |
| 98 | Congo | 7.250000e+05 |
| 99 | Congo, The Democratic Republic of the | 5.480342e+05 |
| 100 | Cocos (Keeling) Islands | 3.350000e+02 |
| 101 | North Korea | 4.982116e+05 |
| 102 | South Korea | 5.571413e+05 |
| 103 | Greece | 2.466054e+05 |
| 104 | Croatia | 2.922208e+05 |
| 105 | Cuba | 3.307089e+05 |
| 106 | Kuwait | 8.708400e+04 |
| 107 | Cyprus | 1.747000e+05 |
| 108 | Laos | 3.142260e+05 |
| 109 | Latvia | 3.228653e+05 |
| 110 | Lesotho | 2.970000e+05 |
| 111 | Lebanon | 6.700000e+05 |
| 112 | Liberia | 8.500000e+05 |
| 113 | Libyan Arab Jamahiriya | 6.742518e+05 |
| 114 | Liechtenstein | 5.194500e+03 |
| 115 | Lithuania | 2.946634e+05 |
| 116 | Luxembourg | 8.070000e+04 |
| 117 | Western Sahara | 1.690000e+05 |
| 118 | Macao | 4.375000e+05 |
| 119 | Madagascar | 2.246322e+05 |
| 120 | Macedonia | 4.442990e+05 |
| 121 | Malawi | 4.570595e+05 |
| 122 | Maldives | 7.100000e+04 |
| 123 | Malaysia | 2.558412e+05 |
| 124 | Mali | 8.095520e+05 |
| 125 | Malta | 1.425900e+04 |
| 126 | Morocco | 3.980710e+05 |
| 127 | Marshall Islands | 2.800000e+04 |
| 128 | Martinique | 9.405000e+04 |
| 129 | Mauritania | 3.824500e+05 |
| 130 | Mauritius | 1.124267e+05 |
| 131 | Mayotte | 1.200000e+04 |
| 132 | Mexico | 3.453903e+05 |
| 133 | Micronesia, Federated States of | 1.530000e+04 |
| 134 | Moldova | 2.983250e+05 |
| 135 | Monaco | 7.194000e+03 |
| 136 | Mongolia | 7.737000e+05 |
| 137 | Montserrat | 2.000000e+03 |
| 138 | Mozambique | 2.619288e+05 |
| 139 | Myanmar | 3.876875e+05 |
| 140 | Namibia | 1.690000e+05 |
| 141 | Nauru | 2.304500e+03 |
| 142 | Nepal | 2.264806e+05 |
| 143 | Nicaragua | 3.173058e+05 |
| 144 | Niger | 2.179523e+05 |
| 145 | Nigeria | 2.713578e+05 |
| 146 | Niue | 6.820000e+02 |
| 147 | Norfolk Island | 8.000000e+02 |
| 148 | Norway | 2.200056e+05 |
| 149 | Côte d’Ivoire | 6.382274e+05 |
| 150 | Oman | 1.074192e+05 |
| 151 | Pakistan | 5.346906e+05 |
| 152 | Palau | 1.200000e+04 |
| 153 | Panama | 3.933775e+05 |
| 154 | Papua New Guinea | 2.470000e+05 |
| 155 | Paraguay | 2.040040e+05 |
| 156 | Peru | 5.521474e+05 |
| 157 | Pitcairn | 4.200000e+01 |
| 158 | Northern Mariana Islands | 9.200000e+03 |
| 159 | Portugal | 2.290022e+05 |
| 160 | Puerto Rico | 1.737971e+05 |
| 161 | Poland | 2.656234e+05 |
| 162 | Equatorial Guinea | 4.000000e+04 |
| 163 | Qatar | 3.550000e+05 |
| 164 | France | 2.311124e+05 |
| 165 | French Guiana | 5.069900e+04 |
| 166 | French Polynesia | 2.572050e+04 |
| 167 | Réunion | 1.314800e+05 |
| 168 | Romania | 2.575519e+05 |
| 169 | Rwanda | 2.860000e+05 |
| 170 | Sweden | 1.927621e+05 |
| 171 | Saint Helena | 1.500000e+03 |
| 172 | Saint Kitts and Nevis | 1.160000e+04 |
| 173 | Saint Lucia | 2.301000e+03 |
| 174 | Saint Vincent and the Grenadines | 1.710000e+04 |
| 175 | Saint Pierre and Miquelon | 5.808000e+03 |
| 176 | Germany | 2.822095e+05 |
| 177 | Solomon Islands | 5.010000e+04 |
| 178 | Zambia | 3.533571e+05 |
| 179 | Samoa | 3.590000e+04 |
| 180 | San Marino | 3.548000e+03 |
| 181 | Sao Tome and Principe | 4.954100e+04 |
| 182 | Saudi Arabia | 4.431958e+05 |
| 183 | Senegal | 3.078287e+05 |
| 184 | Seychelles | 4.100000e+04 |
| 185 | Sierra Leone | 8.500000e+05 |
| 186 | Singapore | 4.017733e+06 |
| 187 | Slovakia | 2.613810e+05 |
| 188 | Slovenia | 1.932590e+05 |
| 189 | Somalia | 3.923333e+05 |
| 190 | Sri Lanka | 2.207143e+05 |
| 191 | Sudan | 3.960156e+05 |
| 192 | Finland | 2.189884e+05 |
| 193 | Suriname | 1.120000e+05 |
| 194 | Swaziland | 6.100000e+04 |
| 195 | Switzerland | 1.828400e+05 |
| 196 | Syria | 4.070713e+05 |
| 197 | Tajikistan | 3.427500e+05 |
| 198 | Taiwan | 3.230794e+05 |
| 199 | Tanzania | 2.944034e+05 |
| 200 | Denmark | 2.431890e+05 |
| 201 | Thailand | 6.627634e+05 |
| 202 | Togo | 3.750000e+05 |
| 203 | Tokelau | 3.000000e+02 |
| 204 | Tonga | 2.240000e+04 |
| 205 | Trinidad and Tobago | 4.999850e+04 |
| 206 | Chad | 3.152325e+05 |
| 207 | Czech Republic | 2.634711e+05 |
| 208 | Tunisia | 2.248125e+05 |
| 209 | Turkey | 4.568875e+05 |
| 210 | Turkmenistan | 2.431500e+05 |
| 211 | Turks and Caicos Islands | 4.800000e+03 |
| 212 | Tuvalu | 4.600000e+03 |
| 213 | Uganda | 8.908000e+05 |
| 214 | Ukraine | 3.521754e+05 |
| 215 | Hungary | 3.281456e+05 |
| 216 | Uruguay | 1.236000e+06 |
| 217 | New Caledonia | 7.629300e+04 |
| 218 | New Zealand | 2.052889e+05 |
| 219 | Uzbekistan | 3.049353e+05 |
| 220 | Belarus | 2.963125e+05 |
| 221 | Wallis and Futuna | 1.137000e+03 |
| 222 | Vanuatu | 3.370000e+04 |
| 223 | Holy See (Vatican City State) | 4.550000e+02 |
| 224 | Venezuela | 2.988071e+05 |
| 225 | Russian Federation | 3.658767e+05 |
| 226 | Vietnam | 4.256733e+05 |
| 227 | Estonia | 2.526135e+05 |
| 228 | United States | 2.869554e+05 |
| 229 | Virgin Islands, U.S. | 1.300000e+04 |
| 230 | Zimbabwe | 4.550700e+05 |
| 231 | Palestine | 1.503933e+05 |
9. Seleccionar los países cuya calificación de vida está por encima del promedio mundial
Álgebra relacional:
SQL equivalente:
Show code cell content
SELECT Name, LifeExpectancy FROM country
WHERE LifeExpectancy>(SELECT AVG(LifeExpectancy) AS WorldAVGLE FROM country)
ORDER BY LifeExpectancy ASC;
| Name | LifeExpectancy | |
|---|---|---|
| 0 | Iraq | 66.5 |
| 1 | Russian Federation | 67.2 |
| 2 | Mongolia | 67.3 |
| 3 | Philippines | 67.5 |
| 4 | Saudi Arabia | 67.8 |
| 5 | Fiji Islands | 67.9 |
| 6 | Tonga | 67.9 |
| 7 | Belarus | 68.0 |
| 8 | Indonesia | 68.0 |
| 9 | Trinidad and Tobago | 68.0 |
| 10 | Greenland | 68.1 |
| 11 | Latvia | 68.4 |
| 12 | Syria | 68.5 |
| 13 | Micronesia, Federated States of | 68.6 |
| 14 | Palau | 68.6 |
| 15 | Thailand | 68.6 |
| 16 | Nicaragua | 68.7 |
| 17 | Cape Verde | 68.9 |
| 18 | Lithuania | 69.1 |
| 19 | Morocco | 69.1 |
| 20 | Samoa | 69.2 |
| 21 | Vietnam | 69.3 |
| 22 | Estonia | 69.5 |
| 23 | Algeria | 69.7 |
| 24 | Iran | 69.7 |
| 25 | El Salvador | 69.7 |
| 26 | Honduras | 69.9 |
| 27 | Romania | 69.9 |
| 28 | Peru | 70.0 |
| 29 | Colombia | 70.3 |
| 30 | Seychelles | 70.4 |
| 31 | Antigua and Barbuda | 70.5 |
| 32 | Saint Kitts and Nevis | 70.7 |
| 33 | North Korea | 70.7 |
| 34 | Malaysia | 70.8 |
| 35 | Bulgaria | 70.9 |
| 36 | Belize | 70.9 |
| 37 | Mauritius | 71.0 |
| 38 | Turkey | 71.0 |
| 39 | Bahamas | 71.1 |
| 40 | Cook Islands | 71.1 |
| 41 | Ecuador | 71.1 |
| 42 | Lebanon | 71.3 |
| 43 | Solomon Islands | 71.3 |
| 44 | China | 71.4 |
| 45 | Hungary | 71.4 |
| 46 | Palestine | 71.4 |
| 47 | Suriname | 71.4 |
| 48 | Bosnia and Herzegovina | 71.5 |
| 49 | Mexico | 71.5 |
| 50 | Albania | 71.6 |
| 51 | Sri Lanka | 71.8 |
| 52 | Oman | 71.8 |
| 53 | Saint Lucia | 72.3 |
| 54 | Saint Vincent and the Grenadines | 72.3 |
| 55 | Qatar | 72.4 |
| 56 | Yugoslavia | 72.4 |
| 57 | Réunion | 72.7 |
| 58 | New Caledonia | 72.8 |
| 59 | Bahrain | 73.0 |
| 60 | Barbados | 73.0 |
| 61 | Venezuela | 73.1 |
| 62 | Dominican Republic | 73.2 |
| 63 | Poland | 73.2 |
| 64 | Turks and Caicos Islands | 73.3 |
| 65 | Dominica | 73.4 |
| 66 | Brunei | 73.6 |
| 67 | Croatia | 73.7 |
| 68 | Paraguay | 73.7 |
| 69 | Slovakia | 73.7 |
| 70 | Tunisia | 73.7 |
| 71 | Macedonia | 73.8 |
| 72 | United Arab Emirates | 74.1 |
| 73 | South Korea | 74.4 |
| 74 | Czech Republic | 74.5 |
| 75 | Netherlands Antilles | 74.7 |
| 76 | French Polynesia | 74.8 |
| 77 | Slovenia | 74.9 |
| 78 | Argentina | 75.1 |
| 79 | American Samoa | 75.1 |
| 80 | Jamaica | 75.2 |
| 81 | Uruguay | 75.2 |
| 82 | Virgin Islands, British | 75.4 |
| 83 | Libyan Arab Jamahiriya | 75.5 |
| 84 | Northern Mariana Islands | 75.5 |
| 85 | Panama | 75.5 |
| 86 | Puerto Rico | 75.6 |
| 87 | Chile | 75.7 |
| 88 | Costa Rica | 75.8 |
| 89 | Portugal | 75.8 |
| 90 | Anguilla | 76.1 |
| 91 | French Guiana | 76.1 |
| 92 | Kuwait | 76.1 |
| 93 | Cuba | 76.2 |
| 94 | Taiwan | 76.4 |
| 95 | Denmark | 76.5 |
| 96 | Cyprus | 76.7 |
| 97 | Ireland | 76.8 |
| 98 | Saint Helena | 76.8 |
| 99 | Bermuda | 76.9 |
| 100 | Guadeloupe | 77.0 |
| 101 | Luxembourg | 77.1 |
| 102 | United States | 77.1 |
| 103 | Germany | 77.4 |
| 104 | Finland | 77.4 |
| 105 | Jordan | 77.4 |
| 106 | Saint Pierre and Miquelon | 77.6 |
| 107 | Austria | 77.7 |
| 108 | United Kingdom | 77.7 |
| 109 | Belgium | 77.8 |
| 110 | Guam | 77.8 |
| 111 | New Zealand | 77.8 |
| 112 | Malta | 77.9 |
| 113 | Montserrat | 78.0 |
| 114 | Virgin Islands, U.S. | 78.1 |
| 115 | Martinique | 78.3 |
| 116 | Netherlands | 78.3 |
| 117 | Aruba | 78.4 |
| 118 | Faroe Islands | 78.4 |
| 119 | Greece | 78.4 |
| 120 | Israel | 78.6 |
| 121 | Norway | 78.7 |
| 122 | Spain | 78.8 |
| 123 | France | 78.8 |
| 124 | Liechtenstein | 78.8 |
| 125 | Monaco | 78.8 |
| 126 | Cayman Islands | 78.9 |
| 127 | Gibraltar | 79.0 |
| 128 | Italy | 79.0 |
| 129 | Canada | 79.4 |
| 130 | Iceland | 79.4 |
| 131 | Hong Kong | 79.5 |
| 132 | Switzerland | 79.6 |
| 133 | Sweden | 79.6 |
| 134 | Australia | 79.8 |
| 135 | Singapore | 80.1 |
| 136 | Japan | 80.7 |
| 137 | San Marino | 81.1 |
| 138 | Macao | 81.6 |
| 139 | Andorra | 83.5 |
10. Encontrar los continentes con una calificación de vida superior al promedio de su continente
Álgebra relacional:
SQL equivalente:
Show code cell content
-- Muestra el promedio de la expectativa de vida por continente
SELECT Continent, AVG(LifeExpectancy) FROM country
GROUP BY Continent;
-- Responde la pregunta
SELECT Continent, Name, LifeExpectancy
FROM country
WHERE LifeExpectancy > (
SELECT AVG(LifeExpectancy)
FROM country AS sub_country
WHERE sub_country.Continent = country.Continent
)
ORDER BY Continent, LifeExpectancy ASC;
| Continent | Name | LifeExpectancy | |
|---|---|---|---|
| 0 | Asia | Philippines | 67.5 |
| 1 | Asia | Saudi Arabia | 67.8 |
| 2 | Asia | Indonesia | 68.0 |
| 3 | Asia | Syria | 68.5 |
| 4 | Asia | Thailand | 68.6 |
| 5 | Asia | Vietnam | 69.3 |
| 6 | Asia | Iran | 69.7 |
| 7 | Asia | North Korea | 70.7 |
| 8 | Asia | Malaysia | 70.8 |
| 9 | Asia | Turkey | 71.0 |
| 10 | Asia | Lebanon | 71.3 |
| 11 | Asia | China | 71.4 |
| 12 | Asia | Palestine | 71.4 |
| 13 | Asia | Sri Lanka | 71.8 |
| 14 | Asia | Oman | 71.8 |
| 15 | Asia | Qatar | 72.4 |
| 16 | Asia | Bahrain | 73.0 |
| 17 | Asia | Brunei | 73.6 |
| 18 | Asia | United Arab Emirates | 74.1 |
| 19 | Asia | South Korea | 74.4 |
| 20 | Asia | Kuwait | 76.1 |
| 21 | Asia | Taiwan | 76.4 |
| 22 | Asia | Cyprus | 76.7 |
| 23 | Asia | Jordan | 77.4 |
| 24 | Asia | Israel | 78.6 |
| 25 | Asia | Hong Kong | 79.5 |
| 26 | Asia | Singapore | 80.1 |
| 27 | Asia | Japan | 80.7 |
| 28 | Asia | Macao | 81.6 |
| 29 | Europe | Portugal | 75.8 |
| 30 | Europe | Denmark | 76.5 |
| 31 | Europe | Ireland | 76.8 |
| 32 | Europe | Luxembourg | 77.1 |
| 33 | Europe | Germany | 77.4 |
| 34 | Europe | Finland | 77.4 |
| 35 | Europe | Austria | 77.7 |
| 36 | Europe | United Kingdom | 77.7 |
| 37 | Europe | Belgium | 77.8 |
| 38 | Europe | Malta | 77.9 |
| 39 | Europe | Netherlands | 78.3 |
| 40 | Europe | Faroe Islands | 78.4 |
| 41 | Europe | Greece | 78.4 |
| 42 | Europe | Norway | 78.7 |
| 43 | Europe | Spain | 78.8 |
| 44 | Europe | France | 78.8 |
| 45 | Europe | Liechtenstein | 78.8 |
| 46 | Europe | Monaco | 78.8 |
| 47 | Europe | Gibraltar | 79.0 |
| 48 | Europe | Italy | 79.0 |
| 49 | Europe | Iceland | 79.4 |
| 50 | Europe | Switzerland | 79.6 |
| 51 | Europe | Sweden | 79.6 |
| 52 | Europe | San Marino | 81.1 |
| 53 | Europe | Andorra | 83.5 |
| 54 | North America | Barbados | 73.0 |
| 55 | North America | Dominican Republic | 73.2 |
| 56 | North America | Turks and Caicos Islands | 73.3 |
| 57 | North America | Dominica | 73.4 |
| 58 | North America | Netherlands Antilles | 74.7 |
| 59 | North America | Jamaica | 75.2 |
| 60 | North America | Virgin Islands, British | 75.4 |
| 61 | North America | Panama | 75.5 |
| 62 | North America | Puerto Rico | 75.6 |
| 63 | North America | Costa Rica | 75.8 |
| 64 | North America | Anguilla | 76.1 |
| 65 | North America | Cuba | 76.2 |
| 66 | North America | Bermuda | 76.9 |
| 67 | North America | Guadeloupe | 77.0 |
| 68 | North America | United States | 77.1 |
| 69 | North America | Saint Pierre and Miquelon | 77.6 |
| 70 | North America | Montserrat | 78.0 |
| 71 | North America | Virgin Islands, U.S. | 78.1 |
| 72 | North America | Martinique | 78.3 |
| 73 | North America | Aruba | 78.4 |
| 74 | North America | Cayman Islands | 78.9 |
| 75 | North America | Canada | 79.4 |
| 76 | Africa | Gambia | 53.2 |
| 77 | Africa | Equatorial Guinea | 53.6 |
| 78 | Africa | Togo | 54.7 |
| 79 | Africa | Cameroon | 54.8 |
| 80 | Africa | Madagascar | 55.0 |
| 81 | Africa | Eritrea | 55.8 |
| 82 | Africa | Sudan | 56.6 |
| 83 | Africa | Ghana | 57.4 |
| 84 | Africa | Mayotte | 59.5 |
| 85 | Africa | Comoros | 60.0 |
| 86 | Africa | Senegal | 62.2 |
| 87 | Africa | Egypt | 63.3 |
| 88 | Africa | Sao Tome and Principe | 65.3 |
| 89 | Africa | Cape Verde | 68.9 |
| 90 | Africa | Morocco | 69.1 |
| 91 | Africa | Algeria | 69.7 |
| 92 | Africa | Seychelles | 70.4 |
| 93 | Africa | Mauritius | 71.0 |
| 94 | Africa | Réunion | 72.7 |
| 95 | Africa | Tunisia | 73.7 |
| 96 | Africa | Libyan Arab Jamahiriya | 75.5 |
| 97 | Africa | Saint Helena | 76.8 |
| 98 | Oceania | Cook Islands | 71.1 |
| 99 | Oceania | Solomon Islands | 71.3 |
| 100 | Oceania | New Caledonia | 72.8 |
| 101 | Oceania | French Polynesia | 74.8 |
| 102 | Oceania | American Samoa | 75.1 |
| 103 | Oceania | Northern Mariana Islands | 75.5 |
| 104 | Oceania | Guam | 77.8 |
| 105 | Oceania | New Zealand | 77.8 |
| 106 | Oceania | Australia | 79.8 |
| 107 | South America | Ecuador | 71.1 |
| 108 | South America | Suriname | 71.4 |
| 109 | South America | Venezuela | 73.1 |
| 110 | South America | Paraguay | 73.7 |
| 111 | South America | Argentina | 75.1 |
| 112 | South America | Uruguay | 75.2 |
| 113 | South America | Chile | 75.7 |
| 114 | South America | French Guiana | 76.1 |
Más Consultas#
Propongan 10 preguntas, con su respectiva representación en el álgebra relacional, que puedan ser resueltas con consultas a la base de datos World. Deben proponer la pregunta y responderla utilizando comandos de MySQL.
Plantilla#
Utilicen la siguiente plantilla para la creación de cada pregunta:
No. Enunciado Pregunta#
Álgebra relacional#
SQL equivalente#
-- Consulta en comandos de MySQL
Ejercicio#
Taller
Realizar todo el taller. Debe presentarse como un archivo de markdown que utilice los bloques de código y de matemáticas.
Entregables:
Deben entregar un archivo tipo markdown con las respuestas de las preguntas escritas en MySQL, puede llamarse consultas.md. En este también deben colocar los pantallazos de los resultados, para ello en la misma carpeta donde esta el archivo creen una carpeta de imagenes y guardan alli todos los pantallazos. Para llamarlas dentro del archivo markdown usen el comando:
<div align="center">
<img src="./images/nombre_imagen" width=90%>
</div>
Truco
Utilicen este archivo como plantilla para la solución.
Conclusiones#
Comprensión de Operadores y Sintaxis SQL: Al finalizar el taller, los estudiantes habrán desarrollado una comprensión sólida de los operadores básicos y de nivel medio en SQL y podrán utilizar comandos como
GROUP BY,HAVING,LIKE,DISTINCT, y operadores de agregación (MAX,MIN,AVG,COUNT) en diversas situaciones.Uso de Álgebra Relacional como Fundamento Teórico: La introducción de la notación de álgebra relacional proporciona a los estudiantes una base teórica fundamental, permitiéndoles visualizar mejor las operaciones y comprender la traducción de conceptos abstractos a sintaxis SQL práctica.
Capacidad para Resolver Consultas Complejas: Gracias a las consultas de nivel medio, los estudiantes adquieren habilidades para resolver problemas más complejos en SQL, como agrupamiento y filtrado de datos en base a condiciones específicas. Esta habilidad es esencial para el análisis y manejo de grandes volúmenes de datos en aplicaciones del mundo real.
Preparación para Escenarios Reales: El uso de una base de datos con información global permite a los estudiantes visualizar cómo los datos interrelacionados pueden ser consultados y organizados, lo cual es útil en aplicaciones como reportes, visualización de datos, y en el contexto de decisiones empresariales.
Referencias#
Libros#
Elmasri, R., & Navathe, S. B. (2015). Fundamentals of Database Systems (7th ed.). Pearson.
Murach, J. (2017). Murach’s MySQL. Mike Murach & Associates, Inc.
Ramakrishnan, R., & Gehrke, J. (2003). Database Management Systems (3rd ed.). McGraw-Hill.
Bases de Datos#
Documentación#
W3Schools. (n.d.). SQL Tutorial. Retrieved from W3Schools SQL Tutorial