| Geo Name Id | Toponym Name | Name | Country Code | Country Name | Lat | Long | Population | Administrative Subdivision (adminName1) | Functional description (fcodeName) |
|---|---|---|---|---|---|---|---|---|---|
| 1796236 | Shanghai | Xangai | CN | China | 31.22222 | 121.45806 | 24874500 | Xangai | seat of a first-order administrative division |
| 1816670 | Beijing | Pequim | CN | China | 39.9075 | 116.39723 | 18960744 | Beijing | capital of a political entity |
| 1795565 | Shenzhen | Shenzhen | CN | China | 22.54554 | 114.0683 | 17494398 | Guangdong | seat of a second-order administrative division |
| 1809858 | Guangzhou | Cantão | CN | China | 23.11667 | 113.25 | 16096724 | Guangdong | seat of a first-order administrative division |
| 2314302 | Kinshasa | Quinxassa | CD | Congo - Kinshasa | -4.32758 | 15.31357 | 16000000 | Kinshasa | capital of a political entity |
| 745044 | Istanbul | Istambul | TR | Turquia | 41.01384 | 28.94966 | 15701602 | Istambul | seat of a first-order administrative division |
| 2332459 | Lagos | Lagos | NG | Nigéria | 6.45407 | 3.39467 | 15388000 | Lagos | seat of a second-order administrative division |
| 1815286 | Chengdu | Chengdu | CN | China | 30.66667 | 104.06667 | 13568357 | Sujuão | seat of a first-order administrative division |
| 1172451 | Lahore | Lahore | PK | Paquistão | 31.558 | 74.35071 | 13004135 | Punjab | seat of a first-order administrative division |
| 1275339 | Mumbai | Mumbai | IN | Índia | 19.07283 | 72.88261 | 12691836 | Maarastra | seat of a first-order administrative division |
| 3448439 | São Paulo | São Paulo | BR | Brasil | -23.5475 | -46.63611 | 12400232 | São Paulo | seat of a first-order administrative division |
| 3530597 | Mexico City | Cidade do México | MX | México | 19.42847 | -99.12766 | 12294193 | Cidade do México | capital of a political entity |
| 1174872 | Karachi | Carachi | PK | Paquistão | 24.8608 | 67.0104 | 11624219 | Sind | seat of a first-order administrative division |
| 1792947 | Tianjin | Tianjin | CN | China | 39.14222 | 117.17667 | 11090314 | Tianjin Shi | seat of a first-order administrative division |
| 1273294 | Delhi | Deli | IN | Índia | 28.65195 | 77.23149 | 11034555 | National Capital Territory of Delhi | seat of a first-order administrative division |
| 1791247 | Wuhan | Wuhan | CN | China | 30.58333 | 114.26667 | 10392693 | Hubei | seat of a first-order administrative division |
| 524901 | Moscow | Moscovo | RU | Rússia | 55.75222 | 37.61556 | 10381222 | Moskva | capital of a political entity |
| 1185241 | Dhaka | Daca | BD | Bangladesh | 23.7104 | 90.40744 | 10356500 | Dhaka | capital of a political entity |
| 1835848 | Seoul | Seul | KR | Coreia do Sul | 37.566 | 126.9784 | 10349312 | Seoul | capital of a political entity |
| 1850147 | Tokyo | Tóquio | JP | Japão | 35.6895 | 139.69171 | 9733276 | Tóquio | capital of a political entity |
| 1812545 | Dongguan | Dongguan | CN | China | 23.01797 | 113.74866 | 9644871 | Guangdong | seat of a second-order administrative division |
| 360630 | Cairo | Cairo | EG | Egito | 30.06263 | 31.24967 | 9606916 | Cairo | capital of a political entity |
| 1790630 | Xi’an | Xian | CN | China | 34.25833 | 108.92861 | 9600000 | Shaanxi | seat of a first-order administrative division |
| 993800 | Johannesburg | Johannesburgo | ZA | África do Sul | -26.20227 | 28.04363 | 9418183 | Gauteng | seat of a first-order administrative division |
| 1799962 | Nanjing | Nanquim | CN | China | 32.06167 | 118.77778 | 9314685 | Jiangsu | seat of a first-order administrative division |
| 1808926 | Hangzhou | Hangzhou | CN | China | 30.29365 | 120.16142 | 9236032 | Zhejiang | seat of a first-order administrative division |
| 1811103 | Foshan | Foshan | CN | China | 23.02677 | 113.13148 | 9042509 | Guangdong | seat of a second-order administrative division |
| 1566083 | Ho Chi Minh City | Cidade de Ho Chi Minh | VN | Vietnã | 10.82302 | 106.62965 | 8993082 | Cidade de Ho Chi Minh | seat of a first-order administrative division |
| 2643743 | London | Londres | GB | Reino Unido | 51.50853 | -0.12574 | 8961989 | Inglaterra | capital of a political entity |
| 5128581 | New York City | Nova Iorque | US | EUA | 40.71427 | -74.00597 | 8804190 | Nova Iorque | populated place |
| 1642911 | Jakarta | Jakarta | ID | Indonésia | -6.21462 | 106.84513 | 8540121 | Jakarta Raya | capital of a political entity |
| 1277333 | Bengaluru | Bengaluru | IN | Índia | 12.97194 | 77.59369 | 8443675 | Karnātaka | seat of a first-order administrative division |
| 1581130 | Hanoi | Hanói | VN | Vietnã | 21.0245 | 105.84117 | 8053663 | Ha Nội | capital of a political entity |
| 1668341 | Taipei | Taipé | TW | Taiwan | 25.05306 | 121.52639 | 7871900 | Taiwan | capital of a political entity |
| 3936456 | Lima | Lima | PE | Peru | -12.04318 | -77.02824 | 7737002 | Lima | capital of a political entity |
| 3688689 | Bogotá | Bogotá | CO | Colômbia | 4.60971 | -74.08175 | 7674366 | Distrito Capital de Bogotá | capital of a political entity |
| 1819729 | Hong Kong | Victoria | HK | Hong Kong | 22.27832 | 114.17469 | 7491609 | capital of a political entity | |
| 1814906 | Chongqing | Chongqing | CN | China | 29.56026 | 106.55771 | 7457599 | Chongqing Shi | seat of a first-order administrative division |
| 98182 | Baghdad | Bagdá | IQ | Iraque | 33.34058 | 44.40088 | 7216000 | Bagdad | capital of a political entity |
| 1797929 | Qingdao | Qingdao | CN | China | 36.06488 | 120.38042 | 7172451 | Shandong | seat of a second-order administrative division |
| 112931 | Tehran | Teerão | IR | República Islâmica do Irã | 35.69439 | 51.42151 | 7153309 | Teerão | capital of a political entity |
| 2034937 | Shenyang | Shenyang | CN | China | 41.79222 | 123.43278 | 7050000 | Liaoning | seat of a first-order administrative division |
| 1269843 | Hyderābād | Hyderabad | IN | Índia | 17.38405 | 78.45636 | 6809970 | State of Telangāna | seat of a first-order administrative division |
| 3451190 | Rio de Janeiro | Rio de Janeiro | BR | Brasil | -22.90642 | -43.18223 | 6747815 | Rio de Janeiro | seat of a first-order administrative division |
| 1886760 | Suzhou | Suzhou | CN | China | 31.30408 | 120.59538 | 6715559 | Jiangsu | seat of a second-order administrative division |
| 1279233 | Ahmedabad | Ahmedabad | IN | Índia | 23.02579 | 72.58727 | 6357693 | Gujarate | populated place |
| 2293538 | Abidjan | Abidjan | CI | Côte d’Ivoire | 5.35444 | -4.00167 | 6321017 | Abidjan | seat of a first-order administrative division |
| 1880252 | Singapore | Singapura | SG | Singapura | 1.28967 | 103.85007 | 5638700 | SG.01 | capital of a political entity |
| 160263 | Dar es Salaam | Dar es Salaam | TZ | Tanzânia | -6.82349 | 39.26951 | 5383728 | Dar es Salaam | seat of a first-order administrative division |
| 498817 | Saint Petersburg | São Petersburgo | RU | Rússia | 59.93863 | 30.31413 | 5351935 | Sankt-Peterburg | seat of a first-order administrative division |
| 361058 | Alexandria | Alexandria | EG | Egito | 31.20176 | 29.91582 | 5263542 | Alexandria | seat of a first-order administrative division |
| 2037013 | Harbin | Harbin | CN | China | 45.75 | 126.65 | 5242897 | Hēilóngjiāng | seat of a first-order administrative division |
| 2147714 | Sydney | Sydney | AU | Austrália | -33.86785 | 151.20732 | 5231147 | Nova Gales do Sul | seat of a first-order administrative division |
| 1609350 | Bangkok | Banguecoque | TH | Tailândia | 13.75398 | 100.50144 | 5104476 | Bangkok | capital of a political entity |
| 1808722 | Hefei | Hefei | CN | China | 31.86389 | 117.28083 | 5050000 | Anhui | seat of a first-order administrative division |
| 2158177 | Melbourne | Melbourne | AU | Austrália | -37.814 | 144.96332 | 4917750 | Vitória | seat of a first-order administrative division |
| 1814087 | Dalian | Dalian | CN | China | 38.91222 | 121.60222 | 4913879 | Liaoning | populated place |
| 2335204 | Kano | Kano | NG | Nigéria | 12.00012 | 8.51672 | 4910000 | Kano | seat of a first-order administrative division |
| 3871336 | Santiago | Santiago do Chile | CL | Chile | -33.45694 | -70.64827 | 4837295 | Região Metropolitana de Santiago | capital of a political entity |
| 1168197 | Peshawar | Pexauar | PK | Paquistão | 34.008 | 71.57849 | 4758762 | Khyber Pakhtunkhwa | seat of a first-order administrative division |
| 2038180 | Changchun | Changchun | CN | China | 43.88 | 125.32278 | 4714996 | Jilin | seat of a first-order administrative division |
| 3369157 | Cape Town | Cidade do Cabo | ZA | África do Sul | -33.92584 | 18.42322 | 4710000 | Cabo Ocidental | seat of a first-order administrative division |
| 105343 | Jeddah | Jidá | SA | Arábia Saudita | 21.49012 | 39.18624 | 4697000 | Mecca Region | populated place |
| 1264527 | Chennai | Chennai | IN | Índia | 13.08784 | 80.27847 | 4681087 | Tamil Nādu | seat of a first-order administrative division |
| 1275004 | Kolkata | Calcutá | IN | Índia | 22.56263 | 88.36304 | 4631392 | Bengala Ocidental | seat of a first-order administrative division |
| 1790645 | Xiamen | Xiamen | CN | China | 24.47979 | 118.08187 | 4617251 | Fuquiém | seat of a second-order administrative division |
| 1255364 | Surat | Surate | IN | Índia | 21.19594 | 72.83023 | 4591246 | Gujarate | populated place |
| 1298824 | Yangon | Rangum | MM | Mianmar (Birmânia) | 16.80528 | 96.15611 | 4477638 | Yangon | seat of a first-order administrative division |
| 13308620 | Bao'an | Bao'an | CN | China | 22.55213 | 113.88288 | 4476554 | Guangdong | seat of a third-order administrative division |
| 1138958 | Kabul | Cabul | AF | Afeganistão | 34.52813 | 69.17233 | 4434550 | Cabul | capital of a political entity |
| 184745 | Nairobi | Nairóbi | KE | Quênia | -1.28333 | 36.81667 | 4397073 | Nairobi | capital of a political entity |
| 1790923 | Wuxi | Wuxi | CN | China | 31.56887 | 120.28857 | 4396835 | Jiangsu | seat of a second-order administrative division |
| 360995 | Giza | Gizé | EG | Egito | 30.00944 | 31.20861 | 4367343 | Guizé | seat of a first-order administrative division |
| 1805753 | Jinan | Jinan | CN | China | 36.66833 | 116.99722 | 4335989 | Shandong | seat of a first-order administrative division |
| 1793511 | Taiyuan | Taiyuan | CN | China | 37.86944 | 112.56028 | 4303673 | Shanxi | seat of a first-order administrative division |
| 1784658 | Zhengzhou | Zhengzhou | CN | China | 34.75778 | 113.64861 | 4253913 | Henan | seat of a first-order administrative division |
| 2460596 | Bamako | Bamako | ML | Mali | 12.60915 | -7.97522 | 4227569 | Bamako | capital of a political entity |
| 108410 | Riyadh | Riade | SA | Arábia Saudita | 24.68773 | 46.72185 | 4205961 | Ar Riyad | capital of a political entity |
| 12908892 | New Taipei City | Nova Taipé | TW | Taiwan | 25.06199 | 121.45703 | 4004367 | Taipé | populated place |
| 12747063 | New Territories | New Territories | HK | Hong Kong | 22.42441 | 114.11095 | 3984077 | section of populated place | |
| 1795270 | Shijiazhuang | Shijiazhuang | CN | China | 38.04139 | 114.47861 | 3938513 | Hebei Sheng | seat of a first-order administrative division |
| 1205733 | Chattogram | Chittagong | BD | Bangladesh | 22.3384 | 91.83168 | 3920222 | Chittagong | seat of a first-order administrative division |
| 344979 | Addis Ababa | Adis Abeba | ET | Etiópia | 9.02497 | 38.74689 | 3860000 | Ādīs Ābeba | capital of a political entity |
| 1804651 | Kunming | Kunming | CN | China | 25.03889 | 102.71833 | 3855346 | Yunnan | seat of a first-order administrative division |
| 6986104 | Zhongshan | Zhongshan | CN | China | 22.52306 | 113.37912 | 3841873 | Guangdong | seat of a second-order administrative division |
| 1799869 | Nanning | Nanning | CN | China | 22.81667 | 108.31667 | 3839800 | Guangxi Zhuang Autonomous Region | seat of a first-order administrative division |
| 1795940 | Shantou | Shantou | CN | China | 23.35489 | 116.67876 | 3838900 | Guangdong | seat of a second-order administrative division |
| 5368361 | Los Angeles | Los Angeles | US | EUA | 34.05223 | -118.24368 | 3820914 | Califórnia | seat of a second-order administrative division |
| 1179400 | Faisalabad | Faisalabad | PK | Paquistão | 31.41554 | 73.08969 | 3800193 | Punjab | seat of a second-order administrative division |
| 292223 | Dubai | Dubai | AE | Emirados Árabes Unidos | 25.07725 | 55.30927 | 3790000 | Dubai | seat of a first-order administrative division |
| 1848354 | Yokohama | Yokohama | JP | Japão | 35.43333 | 139.65 | 3777491 | Kanagawa | seat of a first-order administrative division |
| 1810821 | Fuzhou | Fucheu | CN | China | 26.06139 | 119.30611 | 3740000 | Fuquiém | seat of a first-order administrative division |
| 1799397 | Ningbo | Ningbo | CN | China | 29.87819 | 121.54945 | 3731203 | Zhejiang | seat of a second-order administrative division |
| 1838524 | Busan | Busan | KR | Coreia do Sul | 35.10168 | 129.03004 | 3678555 | Busan | seat of a first-order administrative division |
| 2553604 | Casablanca | Casablanca | MA | Marrocos | 33.58831 | -7.61138 | 3665954 | Casablanca-Settat | seat of a first-order administrative division |
| 2339354 | Ibadan | Ibadan | NG | Nigéria | 7.37756 | 3.90591 | 3649000 | Oyo | seat of a first-order administrative division |
| 1798425 | Puyang | Puyang | CN | China | 29.45679 | 119.88872 | 3590000 | Zhejiang | seat of a third-order administrative division |
| 323786 | Ankara | Ancara | TR | Turquia | 39.91987 | 32.85427 | 3517182 | Ancara | capital of a political entity |
| 1794903 | Shiyan | Shiyan | CN | China | 32.6475 | 110.77806 | 3460000 | Hubei | seat of a second-order administrative division |
| 2950159 | Berlin | Berlim | DE | Alemanha | 52.52437 | 13.41053 | 3426354 | Berlim | capital of a political entity |
| 1793346 | Tangshan | Tangshan | CN | China | 39.64381 | 118.18319 | 3372102 | Hebei Sheng | seat of a second-order administrative division |
| 1166993 | Rawalpindi | Rawalpindi | PK | Paquistão | 33.59733 | 73.0479 | 3357612 | Punjab | seat of a second-order administrative division |
| 1007311 | Durban | Durban | ZA | África do Sul | -29.8579 | 31.0292 | 3338026 | Cuazulo-Natal | seat of a second-order administrative division |
| 1815456 | Changzhou | Changzhou | CN | China | 31.77359 | 119.95401 | 3290918 | Jiangsu | seat of a second-order administrative division |
| 3117735 | Madrid | Madrid | ES | Espanha | 40.4165 | -3.70256 | 3255944 | Comunidade de Madrid | capital of a political entity |
| 1871859 | Pyongyang | Pionguiangue | KP | Coreia do Norte | 39.03385 | 125.75432 | 3222000 | Pionguiangue | capital of a political entity |
| 1785286 | Zibo | Zibo | CN | China | 36.79056 | 118.06333 | 3129228 | Shandong | populated place |
| 1259229 | Pune | Pune | IN | Índia | 18.51957 | 73.85535 | 3124458 | Maarastra | populated place |
| 750269 | Bursa | Bursa | TR | Turquia | 40.19559 | 29.06013 | 3101833 | Bursa | seat of a first-order administrative division |
| 1815577 | Changsha | Changsha | CN | China | 28.19874 | 112.97087 | 3093980 | Hunan | seat of a first-order administrative division |
| 1809461 | Guiyang | Guiyang | CN | China | 26.58333 | 106.71667 | 3037159 | Guizhou | seat of a first-order administrative division |
| 1529102 | Ürümqi | Urumqi | CN | China | 43.80096 | 87.60046 | 3029372 | Xinjiang Uyghur Autonomous Region | seat of a first-order administrative division |
| 1804430 | Lanzhou | Lanzhou | CN | China | 36.05701 | 103.83987 | 3000000 | Gansu | seat of a first-order administrative division |
| 3646738 | Caracas | Caracas | VE | Venezuela | 10.48801 | -66.87919 | 3000000 | Distrito Federal | capital of a political entity |
| 1692192 | Quezon City | Quezon City | PH | Filipinas | 14.6488 | 121.0509 | 2960048 | Metro Manila | seat of a second-order administrative division |
| 1843564 | Incheon | Incheon | KR | Coreia do Sul | 37.45646 | 126.70515 | 2954955 | Incheon | seat of a first-order administrative division |
| 1806776 | Huizhou | Huizhou | CN | China | 23.11147 | 114.41523 | 2900113 | Guangdong | seat of a second-order administrative division |
| 3435910 | Buenos Aires | Buenos Aires | AR | Argentina | -34.61315 | -58.37723 | 2891082 | Ciudad Autónoma de Buenos Aires | capital of a political entity |
| 1625822 | Surabaya | Surabaia | ID | Indonésia | -7.24917 | 112.75083 | 2874314 | Java Oriental | seat of a first-order administrative division |
| 1809078 | Haikou | Haikou | CN | China | 20.03421 | 110.34651 | 2873358 | Hainan | seat of a first-order administrative division |
| 1267995 | Kanpur | Kanpur | IN | Índia | 26.46523 | 80.34975 | 2823249 | Utar Pradexe | populated place |
| 703448 | Kyiv | Kyiv | UA | Ucrânia | 50.45466 | 30.5238 | 2797553 | Misto Kyiv | capital of a political entity |
| 3652462 | Quito | Quito | EC | Equador | -0.22985 | -78.52495 | 2781641 | Pichincha | capital of a political entity |
| 2240449 | Luanda | Luanda | AO | Angola | -8.83682 | 13.23432 | 2776168 | Província de Luanda | capital of a political entity |
| 1853909 | Osaka | Osaka | JP | Japão | 34.69379 | 135.50107 | 2753862 | Osaka | seat of a first-order administrative division |
| 1803318 | Linyi | Linyi | CN | China | 35.06306 | 118.34278 | 2743843 | Shandong | seat of a second-order administrative division |
| 1816971 | Baoding | Baoding | CN | China | 38.87288 | 115.46246 | 2739887 | Hebei Sheng | seat of a second-order administrative division |
| 5110302 | Brooklyn | Brooklyn | US | EUA | 40.6501 | -73.94958 | 2736074 | Nova Iorque | seat of a second-order administrative division |
| 3657509 | Guayaquil | Guaiaquil | EC | Equador | -2.19616 | -79.88621 | 2723665 | Guaias | seat of a first-order administrative division |
| 3470127 | Belo Horizonte | Belo Horizonte | BR | Brasil | -19.92083 | -43.93778 | 2721564 | Minas Gerais | seat of a first-order administrative division |
| 3450554 | Salvador | Salvador | BR | Brasil | -12.97563 | -38.49096 | 2711840 | Bahia | seat of a first-order administrative division |
| 1269515 | Jaipur | Jaipur | IN | Índia | 26.91962 | 75.78781 | 2711758 | Rajastão | seat of a first-order administrative division |
| 2352778 | Abuja | Abuja | NG | Nigéria | 9.05785 | 7.49508 | 2690000 | Território da Capital Federal | capital of a political entity |
| 1200109 | Gazipur | Gazipur | BD | Bangladesh | 23.99844 | 90.42234 | 2674697 | Dhaka | seat of a second-order administrative division |
| 4887398 | Chicago | Chicago | US | EUA | 41.85003 | -87.65005 | 2664452 | Ilinóis | seat of a second-order administrative division |
| 1791388 | Wenzhou | Wenzhou | CN | China | 27.99942 | 120.66682 | 2650000 | Zhejiang | seat of a third-order administrative division |
| 2253354 | Dakar | Dacar | SN | Senegal | 14.6937 | -17.44406 | 2646503 | Dakar | capital of a political entity |
| 1785725 | Yunfu | Yunfu | CN | China | 22.92787 | 112.03809 | 2612800 | Guangdong | seat of a second-order administrative division |
| 6167865 | Toronto | Toronto | CA | Canadá | 43.70643 | -79.39864 | 2600000 | Ontário | seat of a first-order administrative division |
| 6619347 | Navi Mumbai | Nova Bombaim | IN | Índia | 19.03681 | 73.01582 | 2600000 | Maarastra | section of populated place |
| 53654 | Mogadishu | Mogadíscio | SO | Somália | 2.03711 | 45.34375 | 2587183 | Gobolka Banaadir | capital of a political entity |
| 2174003 | Brisbane | Brisbane | AU | Austrália | -27.46794 | 153.02809 | 2582007 | Queensland | seat of a first-order administrative division |
| 1835329 | Daegu | Daegu | KR | Coreia do Sul | 35.87028 | 128.59111 | 2566540 | Daegu | seat of a first-order administrative division |
| 1649378 | Bekasi | Bekasi | ID | Indonésia | -6.2349 | 106.9896 | 2564940 | Java Ocidental | populated place |
| 2298890 | Kumasi | Kumasi | GH | Gana | 6.68848 | -1.62443 | 2544530 | Ashanti | seat of a first-order administrative division |
| 1177662 | Gujranwala | Gujranwala | PK | Paquistão | 32.15567 | 74.18705 | 2511118 | Punjab | seat of a second-order administrative division |
| 311046 | İzmir | Esmirna | TR | Turquia | 38.41273 | 27.13838 | 2500603 | Esmirna | seat of a first-order administrative division |
| 1797873 | Huai'an | Huai'an | CN | China | 33.58861 | 119.01917 | 2494013 | Jiangsu | populated place |
| 1264733 | Lucknow | Lucknow | IN | Índia | 26.83928 | 80.92313 | 2472011 | Utar Pradexe | seat of a first-order administrative division |
| 1650357 | Bandung | Bandung | ID | Indonésia | -6.92222 | 107.60694 | 2444160 | Java Ocidental | seat of a first-order administrative division |
| 1214520 | Medan | Medan | ID | Indonésia | 3.58333 | 98.66667 | 2435252 | Sumatra Setentrional | seat of a first-order administrative division |
| 2357048 | Ouagadougou | Ouagadougou | BF | Burquina Faso | 12.36566 | -1.53388 | 2415266 | Região Centro | capital of a political entity |
| 3399415 | Fortaleza | Fortaleza | BR | Brasil | -3.71722 | -38.54306 | 2400000 | Ceará | seat of a first-order administrative division |
| 3687925 | Cali | Cali | CO | Colômbia | 3.43054 | -76.5199 | 2392877 | Valle del Cauca | seat of a first-order administrative division |
| 2507480 | Algiers | Argel | DZ | Argélia | 36.73225 | 3.08746 | 2364230 | Argel | capital of a political entity |
| 1800163 | Nanchang | Nanchang | CN | China | 28.68396 | 115.85306 | 2357839 | Jiangxi | seat of a first-order administrative division |
| 2036892 | Hohhot | Hohhot | CN | China | 40.81056 | 111.65222 | 2350000 | Inner Mongolia Autonomous Region | seat of a first-order administrative division |
| 1856057 | Nagoya | Nagoia | JP | Japão | 35.18147 | 136.90641 | 2332176 | Aichi | seat of a first-order administrative division |
| 3169070 | Rome | Roma | IT | Itália | 41.89193 | 12.51133 | 2318895 | Lácio | capital of a political entity |
| 4699066 | Houston | Houston | US | EUA | 29.76328 | -95.36327 | 2314157 | Texas | seat of a second-order administrative division |
| 124665 | Mashhad | Mexed | IR | República Islâmica do Irã | 36.29807 | 59.60567 | 2307177 | Coração Razavi | seat of a first-order administrative division |
| 1795855 | Shaoxing | Shaoxing | CN | China | 30.00237 | 120.57864 | 2300000 | Zhejiang | seat of a third-order administrative division |
| 1799722 | Nantong | Nantong | CN | China | 32.03028 | 120.87472 | 2273326 | Jiangsu | seat of a second-order administrative division |
| 5133273 | Queens | Queens | US | EUA | 40.68149 | -73.83652 | 2272771 | Nova Iorque | seat of a second-order administrative division |
| 1819609 | Kowloon | Kowloon | HK | Hong Kong | 22.31667 | 114.18333 | 2232339 | section of populated place | |
| 1262180 | Nagpur | Nagpur | IN | Índia | 21.14631 | 79.08491 | 2228018 | Maarastra | seat of a second-order administrative division |
| 1787093 | Yantai | Yantai | CN | China | 37.47649 | 121.44081 | 2227733 | Shandong | populated place |
| 3633009 | Maracaibo | Maracaibo | VE | Venezuela | 10.64232 | -71.61089 | 2225000 | Estado Zulia | seat of a first-order administrative division |
| 922704 | Lubumbashi | Lubumbashi | CD | Congo - Kinshasa | -11.66089 | 27.47938 | 2221925 | Haut-Katanga | seat of a first-order administrative division |
| 3663517 | Manaus | Manaus | BR | Brasil | -3.10194 | -60.025 | 2219580 | Amazonas | seat of a first-order administrative division |
| 909137 | Lusaka | Lusaka | ZM | Zâmbia | -15.40669 | 28.28713 | 2212301 | Lusaca | capital of a political entity |
| 3469058 | Brasília | Brasília | BR | Brasil | -15.77972 | -47.92972 | 2207718 | Distrito Federal | capital of a political entity |
| 1790437 | Zhuhai | Zhuhai | CN | China | 22.27694 | 113.56778 | 2207090 | Guangdong | seat of a second-order administrative division |
| 3492908 | Santo Domingo | Santo Domingo | DO | República Dominicana | 18.47186 | -69.89232 | 2201941 | Distrito Nacional | capital of a political entity |
| 2063523 | Perth | Perth | AU | Austrália | -31.95224 | 115.8614 | 2192229 | Austrália Ocidental | seat of a first-order administrative division |
| 2365267 | Lomé | Lomé | TG | Togo | 6.12874 | 1.22154 | 2188376 | Maritime | capital of a political entity |
| 1169825 | Multan | Multan | PK | Paquistão | 30.19679 | 71.47824 | 2169915 | Punjab | seat of a second-order administrative division |
| 3553478 | Havana | Havana | CU | Cuba | 23.13302 | -82.38304 | 2163824 | La Habana | capital of a political entity |
| 2038432 | Baotou | Baotou | CN | China | 40.6516 | 109.84389 | 2150000 | Inner Mongolia Autonomous Region | populated place |
| 1645524 | Depok | Depok | ID | Indonésia | -6.4 | 106.81861 | 2145400 | Java Ocidental | populated place |
| 2988507 | Paris | Paris | FR | França | 48.85341 | 2.3488 | 2138551 | Ilha de França | capital of a political entity |
| 1273865 | Coimbatore | Coimbatore | IN | Índia | 11.00555 | 76.96612 | 2136916 | Tamil Nādu | populated place |
| 314830 | Gaziantep | Gaziantep | TR | Turquia | 37.05944 | 37.3825 | 2130432 | Gaziantep | seat of a first-order administrative division |
| 2324774 | Port Harcourt | Port Harcourt | NG | Nigéria | 4.77742 | 7.0134 | 2120000 | Rios | seat of a first-order administrative division |
| 964137 | Pretoria | Pretória | ZA | África do Sul | -25.74486 | 28.18783 | 2112693 | Gauteng | capital of a political entity |
| 209228 | Mbuji-Mayi | Mbuji-Mayi | CD | Congo - Kinshasa | -6.13603 | 23.58979 | 2101332 | East Kasai | seat of a first-order administrative division |
| 170063 | Aleppo | Alepo | SY | Síria | 36.20124 | 37.16117 | 2098210 | Alepo | seat of a first-order administrative division |
| 1785623 | Kunshan | Kunshan | CN | China | 31.37762 | 120.95431 | 2092496 | Jiangsu | seat of a third-order administrative division |
| 99071 | Al Mawşil al Jadīdah | Al Mawşil al Jadīdah | IQ | Iraque | 36.33271 | 43.10555 | 2065597 | Nīnawá | section of populated place |
| 1791681 | Weifang | Weifang | CN | China | 36.71 | 119.10194 | 2044028 | Shandong | populated place |
| 1783621 | Zunyi | Zunyi | CN | China | 27.68667 | 106.90722 | 2037775 | Guizhou | seat of a second-order administrative division |
| 388349 | Al Başrah al Qadīmah | Al Başrah al Qadīmah | IQ | Iraque | 30.50316 | 47.81507 | 2015483 | Muḩāfaz̧at al Başrah | section of populated place |
| 3911925 | La Paz | La Paz | BO | Bolívia | -16.5 | -68.15 | 2004652 | Departamento de La Paz | seat of government of a political entity |
| 10859300 | Lianyungang | Lianyungang | CN | China | 34.59845 | 119.21556 | 2001009 | Jiangsu | seat of a second-order administrative division |
| 3674962 | Medellín | Medelim | CO | Colômbia | 6.245 | -75.57151 | 1999979 | Antioquia | seat of a first-order administrative division |
| 2260535 | Brazzaville | Brazzaville | CG | Congo | -4.26613 | 15.28318 | 1982000 | Brazzaville | capital of a political entity |
| 1512569 | Tashkent | Tashkent | UZ | Uzbequistão | 41.26465 | 69.21627 | 1978028 | Toshkent Shahri | capital of a political entity |
| 1810638 | Ganzhou | Ganzhou | CN | China | 25.84664 | 114.9326 | 1977253 | Jiangxi | seat of a second-order administrative division |
| 1526384 | Almaty | Almaty | KZ | Cazaquistão | 43.25 | 76.91667 | 1977011 | Almaty | seat of a first-order administrative division |
| 379252 | Khartoum | Cartum | SD | Sudão | 15.55177 | 32.53241 | 1974647 | Cartum | capital of a political entity |
| 2128295 | Sapporo | Sapporo | JP | Japão | 43.06667 | 141.35 | 1973832 | Hokkaido | seat of a first-order administrative division |
| 2306104 | Accra | Acra | GH | Gana | 5.55602 | -0.1969 | 1963264 | Greater Accra | capital of a political entity |
| 3464975 | Curitiba | Curitiba | BR | Brasil | -25.42778 | -49.27306 | 1948626 | Paraná | seat of a first-order administrative division |
| 8347664 | Ordos | Ordos | CN | China | 39.6086 | 109.78157 | 1940653 | Inner Mongolia Autonomous Region | populated place |
| 71137 | Sanaa | Sanaa | YE | Iêmen | 15.35472 | 44.20667 | 1937451 | Amanat alasimah | capital of a political entity |
| 2422465 | Conakry | Conacri | GN | Guiné | 9.53795 | -13.67729 | 1928389 | Conakry | capital of a political entity |
| 3981609 | Tijuana | Tijuana | MX | México | 32.5027 | -117.00371 | 1922523 | Baixa Califórnia | seat of a second-order administrative division |
| 1176734 | Hyderabad | Hyderabad | PK | Paquistão | 25.39689 | 68.37718 | 1921275 | Sind | seat of a second-order administrative division |
| 276781 | Beirut | Beirute | LB | Líbano | 33.89332 | 35.50157 | 1916100 | Beyrouth | capital of a political entity |
| 1625084 | Tangerang | Tangerang | ID | Indonésia | -6.17806 | 106.63 | 1912679 | Banten | populated place |
| 1797121 | Jieyang | Jieyang | CN | China | 23.5418 | 116.36581 | 1899394 | Guangdong | seat of a second-order administrative division |
| 2036502 | Jilin | Jilin | CN | China | 43.84652 | 126.5608 | 1895865 | Jilin | seat of a second-order administrative division |
| 683506 | Bucharest | Bucareste | RO | Romênia | 44.43225 | 26.10626 | 1877155 | București | capital of a political entity |
| 2422488 | Camayenne | Camayenne | GN | Guiné | 9.535 | -13.68778 | 1871242 | Conakry | populated place |
| 195272 | Kakamega | Kakamega | KE | Quênia | 0.28422 | 34.75229 | 1867579 | Kakamega | seat of a first-order administrative division |
| 1800146 | Nanchong | Nanchong | CN | China | 30.79508 | 106.08473 | 1858875 | Sujuão | seat of a second-order administrative division |
| 2335727 | Kaduna | Kaduna | NG | Nigéria | 10.52641 | 7.43879 | 1850000 | Kaduna | seat of a first-order administrative division |
| 2037799 | Datong | Datong | CN | China | 40.09361 | 113.29139 | 1850000 | Shanxi | populated place |
| 365137 | Omdurman | Omdurman | SD | Sudão | 15.64453 | 32.47773 | 1849659 | Cartum | populated place |
| 2911298 | Hamburg | Hamburgo | DE | Alemanha | 53.55073 | 9.99302 | 1845229 | Hamburgo | seat of a first-order administrative division |
| 1269743 | Indore | Indore | IN | Índia | 22.71792 | 75.8333 | 1837041 | Madia Pradexe | populated place |
| 3904906 | Santa Cruz de la Sierra | Santa Cruz | BO | Bolívia | -17.78629 | -63.18117 | 1831434 | Santa Cruz | seat of a first-order administrative division |
| 1253573 | Vadodara | Vadodara | IN | Índia | 22.29941 | 73.20812 | 1822221 | Gujarate | populated place |
| 325363 | Adana | Adana | TR | Turquia | 36.98615 | 35.32531 | 1816750 | Adana | seat of a first-order administrative division |
| 3526683 | Iztapalapa | Iztapalapa | MX | México | 19.35529 | -99.06224 | 1815786 | Cidade do México | populated place |
| 1799629 | Nanyang | Nanyang | CN | China | 32.99472 | 112.53278 | 1811812 | Henan | seat of a second-order administrative division |
| 292968 | Abu Dhabi | Abu Dabi | AE | Emirados Árabes Unidos | 24.45118 | 54.39696 | 1807000 | Emirado Abu Dhabi | capital of a political entity |
| 292672 | Sharjah | Sharjah | AE | Emirados Árabes Unidos | 25.33737 | 55.41206 | 1800000 | Ash Shāriqah | seat of a first-order administrative division |
| 1806299 | Jiangmen | Jiangmen | CN | China | 22.58333 | 113.08333 | 1795459 | Guangdong | seat of a second-order administrative division |
| 316541 | Diyarbakır | Diyarbakir | TR | Turquia | 37.91363 | 40.21721 | 1791373 | Diyarbakır | seat of a first-order administrative division |
| 2347283 | Benin City | Benim | NG | Nigéria | 6.33815 | 5.62575 | 1782000 | Edo | seat of a first-order administrative division |
| 1815251 | Jiangyin | Jiangyin | CN | China | 31.91102 | 120.26302 | 1779515 | Jiangsu | seat of a third-order administrative division |
| 1715348 | Davao | Davao | PH | Filipinas | 7.07306 | 125.61278 | 1776949 | Região de Dávao | seat of a first-order administrative division |
| 1810845 | Fuyang | Fuyang | CN | China | 32.9 | 115.81667 | 1768947 | Anhui | seat of a second-order administrative division |
| 6077243 | Montréal | Montreal | CA | Canadá | 45.50884 | -73.58781 | 1762949 | Quebeque | seat of a second-order administrative division |
| 11838258 | Bayan Nur | Bayan Nur | CN | China | 40.74143 | 107.38599 | 1760000 | Inner Mongolia Autonomous Region | populated place |
| 3632998 | Maracay | Maracay | VE | Venezuela | 10.24972 | -67.59475 | 1754256 | Estado Aragua | seat of a first-order administrative division |
| 1815395 | Chaozhou | Chaozhou | CN | China | 23.65396 | 116.62262 | 1750945 | Guangdong | seat of a second-order administrative division |
| 625144 | Minsk | Minsk | BY | Bielorrússia | 53.9 | 27.56667 | 1742124 | Minsk | capital of a political entity |
| 3054643 | Budapest | Budapeste | HU | Hungria | 47.49835 | 19.04045 | 1741041 | Budapest | capital of a political entity |
| 1797945 | Qingyuan | Qingyuan | CN | China | 23.7 | 113.03333 | 1738424 | Guangdong | seat of a second-order administrative division |
| 1793724 | Tai’an | Tai’an | CN | China | 36.18528 | 117.12 | 1735425 | Shandong | seat of a second-order administrative division |
| 1258393 | Rasapūdipalem | Rasapūdipalem | IN | Índia | 17.73308 | 83.31622 | 1728128 | Andra Pradexe | populated place |
| 3998655 | León de los Aldama | León | MX | México | 21.12908 | -101.67374 | 1721199 | Guanajuato | seat of a second-order administrative division |
| 756135 | Warsaw | Varsóvia | PL | Polônia | 52.22977 | 21.01178 | 1702139 | Voivodia da Mazóvia | capital of a political entity |
| 953781 | Soweto | Soweto | ZA | África do Sul | -26.26781 | 27.85849 | 1695047 | Gauteng | populated place |
| 3521081 | Puebla | Puebla | MX | México | 19.04778 | -98.20723 | 1692181 | Puebla | seat of a first-order administrative division |
| 2761369 | Vienna | Viena | AT | Áustria | 48.20849 | 16.37208 | 1691468 | Viana | capital of a political entity |
| 1260086 | Patna | Patna | IN | Índia | 25.59408 | 85.13563 | 1684297 | Biar | seat of a first-order administrative division |
| 99072 | Mosul | Mossul | IQ | Iraque | 36.335 | 43.11889 | 1683000 | Nīnawá | seat of a first-order administrative division |
| 12165956 | Kallakurichi | Kallakurichi | IN | Índia | 11.73379 | 78.95925 | 1682687 | Tamil Nādu | seat of a second-order administrative division |
| 232422 | Kampala | Campala | UG | Uganda | 0.31628 | 32.58219 | 1680600 | Região Central | capital of a political entity |
| 1788852 | Xining | Xining | CN | China | 36.62554 | 101.75739 | 1677177 | Qinghai | seat of a first-order administrative division |
| 7283386 | Changshu | Changshu | CN | China | 31.64615 | 120.74221 | 1677050 | Jiangsu | seat of a third-order administrative division |
| 1633070 | Palembang | Palimbão | ID | Indonésia | -2.91673 | 104.7458 | 1668848 | Sumatra Meridional | seat of a first-order administrative division |
| 1807681 | Huainan | Huainan | CN | China | 32.62639 | 116.99694 | 1666826 | Anhui | populated place |
| 1720151 | Caloocan City | Caloocan City | PH | Filipinas | 14.64953 | 120.96788 | 1661584 | Metro Manila | seat of a second-order administrative division |
| 2538475 | Rabat | Rabat | MA | Marrocos | 34.01325 | -6.83255 | 1655753 | Rabat-Salé-Kénitra | capital of a political entity |
| 1627896 | Semarang | Semarang | ID | Indonésia | -6.99306 | 110.42083 | 1653524 | Java Central | seat of a first-order administrative division |
| 3390760 | Recife | Recife | BR | Brasil | -8.05389 | -34.88111 | 1653461 | Pernambuco | seat of a first-order administrative division |
| 5308655 | Phoenix | Phoenix | US | EUA | 33.44838 | -112.07404 | 1650070 | Arizona | seat of a first-order administrative division |
| 1793743 | Suzhou | Suzhou | CN | China | 33.63611 | 116.97889 | 1647642 | Anhui | seat of a second-order administrative division |
| 3529612 | Ecatepec de Morelos | Ecatepec de Morelos | MX | México | 19.60492 | -99.06064 | 1645352 | México | seat of a second-order administrative division |
| 1802206 | Lu’an | Lu’an | CN | China | 31.73561 | 116.51688 | 1644344 | Anhui | seat of a second-order administrative division |
| 3128760 | Barcelona | Barcelona | ES | Espanha | 41.38879 | 2.15899 | 1620343 | Catalunha | seat of a first-order administrative division |
| 3625549 | Valencia | Valência | VE | Venezuela | 10.16153 | -68.00044 | 1619470 | Estado Carabobo | seat of a first-order administrative division |
| 1787746 | Yancheng | Yancheng | CN | China | 33.3575 | 120.1573 | 1615717 | Jiangsu | seat of a second-order administrative division |
| 1496747 | Novosibirsk | Novosibirsk | RU | Rússia | 55.03442 | 82.94339 | 1612833 | Oblast de Novosibirsk | seat of a first-order administrative division |
| 95446 | Erbil | Erbil | IQ | Iraque | 36.19117 | 44.00943 | 1612700 | Erbil | seat of a first-order administrative division |
| 1863967 | Fukuoka | Fukuoka | JP | Japão | 33.6 | 130.41667 | 1612392 | Fukuoka | seat of a first-order administrative division |
| 1793505 | Taizhou | Taizhou | CN | China | 32.49069 | 119.90812 | 1607108 | Jiangsu | seat of a third-order administrative division |
| 2037860 | Daqing | Daqing | CN | China | 46.58333 | 125 | 1604027 | Hēilóngjiāng | seat of a second-order administrative division |
| 1701668 | Manila | Manila | PH | Filipinas | 14.6042 | 120.9822 | 1600000 | Metro Manila | capital of a political entity |
| 1275841 | Bhopāl | Bhopal | IN | Índia | 23.25469 | 77.40289 | 1599914 | Madia Pradexe | seat of a first-order administrative division |
| 1791236 | Wuhu | Wuhu | CN | China | 31.35259 | 118.42947 | 1598165 | Anhui | seat of a second-order administrative division |
| 3991164 | Santiago de Querétaro | Santiago de Querétaro | MX | México | 20.58806 | -100.38806 | 1594212 | Querétaro | seat of a first-order administrative division |
| 1813325 | Dazhou | Dazhou | CN | China | 31.2106 | 107.46308 | 1589435 | Sujuão | seat of a second-order administrative division |
| 1787227 | Yangzhou | Yangzhou | CN | China | 32.39722 | 119.43583 | 1584237 | Jiangsu | populated place |
| 104515 | Makkah | Meca | SA | Arábia Saudita | 21.42664 | 39.82563 | 1578722 | Mecca Region | seat of a first-order administrative division |
| 4560349 | Philadelphia | Filadélfia | US | EUA | 39.95238 | -75.16362 | 1573916 | Pensilvânia | seat of a second-order administrative division |
| 1821306 | Phnom Penh | Pnom Penh | KH | Camboja | 11.56245 | 104.91601 | 1573544 | Phnom Penh | capital of a political entity |
| 1809498 | Guilin | Guilin | CN | China | 25.28022 | 110.29639 | 1572300 | Guangxi Zhuang Autonomous Region | seat of a second-order administrative division |
| 170654 | Damascus | Damasco | SY | Síria | 33.5102 | 36.29128 | 1569394 | Damasco | capital of a political entity |
| 1167528 | Quetta | Quetta | PK | Paquistão | 30.18414 | 67.00141 | 1565546 | Baluchistão | seat of a first-order administrative division |
| 1784853 | Zhaoqing | Zhaoqing | CN | China | 23.04893 | 112.46091 | 1553109 | Guangdong | seat of a second-order administrative division |
| 2326016 | Onitsha | Onitsha | NG | Nigéria | 6.14978 | 6.78569 | 1553000 | Anambra | seat of a second-order administrative division |
| 1800627 | Mianyang | Mianyang | CN | China | 31.46784 | 104.68168 | 1550000 | Sujuão | seat of a third-order administrative division |
| 418863 | Isfahan | Isfahan | IR | República Islâmica do Irã | 32.65246 | 51.67462 | 1547164 | Ispaão | seat of a first-order administrative division |
| 1264728 | Ludhiāna | Ludhiana | IN | Índia | 30.91204 | 75.85379 | 1545368 | Punjab | populated place |
| 890299 | Harare | Harare | ZW | Zimbábue | -17.82772 | 31.05337 | 1542813 | Harare | capital of a political entity |
| 2274895 | Monrovia | Monróvia | LR | Libéria | 6.30054 | -10.7969 | 1542549 | Montserrado | capital of a political entity |
| 1798449 | Putian | Putian | CN | China | 25.43944 | 119.01028 | 1539389 | Fuquiém | seat of a second-order administrative division |
| 1859642 | Kawasaki | Kawasaki | JP | Japão | 35.52056 | 139.71722 | 1538262 | Kanagawa | seat of a second-order administrative division |
| 1783934 | Shangqiu | Shangqiu | CN | China | 34.45 | 115.65 | 1536392 | Henan | populated place |
| 3462377 | Goiânia | Goiânia | BR | Brasil | -16.67861 | -49.25389 | 1536097 | Goiás | seat of a first-order administrative division |
| 2193733 | Auckland | Auckland | NZ | Nova Zelândia | -36.84853 | 174.76349 | 1531400 | Auckland | seat of a first-order administrative division |
| 1859171 | Kobe | Kobe | JP | Japão | 34.6913 | 135.183 | 1525152 | Hyōgo | seat of a first-order administrative division |
| 1673820 | Kaohsiung | Kaohsiung | TW | Taiwan | 22.61626 | 120.31333 | 1519711 | Kaohsiung | seat of a first-order administrative division |
| 2673730 | Stockholm | Estocolmo | SE | Suécia | 59.32938 | 18.06871 | 1515017 | Stockholm | capital of a political entity |
| 4013708 | Ciudad Juárez | Juárez | MX | México | 31.72024 | -106.46084 | 1501551 | Chihuahua | seat of a second-order administrative division |
| 1336135 | Khulna | Khulna | BD | Bangladesh | 22.80979 | 89.56439 | 1500689 | Khulna | seat of a first-order administrative division |
| 3405870 | Belém | Belém | BR | Brasil | -1.45583 | -48.50444 | 1499641 | Pará | seat of a first-order administrative division |
| 1486209 | Yekaterinburg | Ekaterinburg | RU | Rússia | 56.8519 | 60.6122 | 1495066 | Oblast de Sverdlovsk | seat of a first-order administrative division |
| 1841811 | Gwangju | Gwangju | KR | Coreia do Sul | 35.15472 | 126.91556 | 1490092 | Gwangju | seat of a first-order administrative division |
| 3452925 | Porto Alegre | Porto Alegre | BR | Brasil | -30.03283 | -51.23019 | 1488252 | Rio Grande do Sul | seat of a first-order administrative division |
| 1786657 | Yinchuan | Yinchuan | CN | China | 38.46806 | 106.27306 | 1487579 | Ningxia Hui Autonomous Region | seat of a first-order administrative division |
| 5125771 | Manhattan | Manhattan | US | EUA | 40.78343 | -73.96625 | 1487536 | Nova Iorque | seat of a second-order administrative division |
| 8400694 | Taizhou | Taizhou | CN | China | 28.66266 | 121.43312 | 1485502 | Zhejiang | seat of a second-order administrative division |
| 3439389 | Asunción | Assunção | PY | Paraguai | -25.28646 | -57.647 | 1482200 | Asunción | capital of a political entity |
| 1814870 | Yiwu | Yiwu | CN | China | 29.31506 | 120.07676 | 1481384 | Zhejiang | seat of a third-order administrative division |
| 3979770 | Zapopan | Zapopan | MX | México | 20.72356 | -103.38479 | 1476491 | Jalisco | seat of a second-order administrative division |
| 1835235 | Daejeon | Daejeon | KR | Coreia do Sul | 36.34913 | 127.38493 | 1469543 | Daejeon | seat of a first-order administrative division |
| 1797353 | Quanzhou | Quanzhou | CN | China | 24.91389 | 118.58583 | 1469157 | Fuquiém | seat of a second-order administrative division |
| 1264521 | Madurai | Madurai | IN | Índia | 9.919 | 78.11953 | 1465625 | Tamil Nādu | seat of a second-order administrative division |
| 1805528 | Jinhua | Jinhua | CN | China | 29.10678 | 119.64421 | 1463990 | Zhejiang | seat of a second-order administrative division |
| 1857910 | Kyoto | Quioto | JP | Japão | 35.02107 | 135.75385 | 1463723 | Quioto | seat of a first-order administrative division |
| 1806602 | Cixi | Cixi | CN | China | 30.1764 | 121.2457 | 1457510 | Zhejiang | seat of a third-order administrative division |
| 1791121 | Changde | Changde | CN | China | 29.03205 | 111.69844 | 1457419 | Hunan | seat of a third-order administrative division |
| 1735161 | Kuala Lumpur | Kuala Lumpur | MY | Malásia | 3.1412 | 101.68653 | 1453975 | Kuala Lumpur | capital of a political entity |
| 1804879 | Kaifeng | Kaifeng | CN | China | 34.7986 | 114.30742 | 1451741 | Henan | populated place |
| 2038632 | Anshan | Anshan | CN | China | 41.12361 | 122.99 | 1450000 | Liaoning | populated place |
| 128747 | Karaj | Karaj | IR | República Islâmica do Irã | 35.83266 | 50.99155 | 1448075 | Alborz | seat of a first-order administrative division |
| 1283240 | Kathmandu | Catmandu | NP | Nepal | 27.70169 | 85.3206 | 1442271 | Bagmati Province | capital of a political entity |
| 10942359 | Baoji | Baoji | CN | China | 34.36775 | 107.23705 | 1437802 | Shaanxi | seat of a second-order administrative division |
| 1793771 | Suqian | Suqian | CN | China | 33.94917 | 118.29583 | 1437685 | Jiangsu | seat of a second-order administrative division |
| 1803300 | Liuzhou | Liuzhou | CN | China | 24.32405 | 109.40698 | 1436599 | Guangxi Zhuang Autonomous Region | seat of a second-order administrative division |
| 1254361 | Tirunelveli | Tirunelveli | IN | Índia | 8.72742 | 77.6838 | 1435844 | Tamil Nādu | seat of a second-order administrative division |
| 4726206 | San Antonio | San Antonio | US | EUA | 29.42412 | -98.49363 | 1434625 | Texas | seat of a second-order administrative division |
| 308464 | Kayseri | Kayseri | TR | Turquia | 38.73222 | 35.48528 | 1434357 | Kayseri | seat of a first-order administrative division |
| 706483 | Kharkiv | Carcóvia | UA | Ucrânia | 49.98081 | 36.25272 | 1433886 | Oblast de Kharkiv | seat of a first-order administrative division |
| 306571 | Konya | Konya | TR | Turquia | 37.87135 | 32.48464 | 1433861 | Konya | seat of a first-order administrative division |
| 1787331 | Zhangjiagang | Zhangjiagang | CN | China | 31.865 | 120.53889 | 1432044 | Jiangsu | seat of a third-order administrative division |
| 1279259 | Agra | Agra | IN | Índia | 27.18333 | 78.01667 | 1430055 | Utar Pradexe | seat of a second-order administrative division |
| 113646 | Tabriz | Tabriz | IR | República Islâmica do Irã | 38.08 | 46.2919 | 1424641 | Azerbaijão Oriental | seat of a first-order administrative division |
| 1622786 | Makassar | Macassar | ID | Indonésia | -5.14861 | 119.43194 | 1423877 | Sulawesi Selatan | seat of a first-order administrative division |
| 1797658 | Jinjiang | Jinjiang | CN | China | 24.81978 | 118.57415 | 1416151 | Fuquiém | seat of a third-order administrative division |
| 1271951 | Faridabad | Faridabad | IN | Índia | 28.41124 | 77.31316 | 1414050 | Haryāna | seat of a second-order administrative division |
| 1816234 | Bozhou | Bozhou | CN | China | 33.87722 | 115.77028 | 1409436 | Anhui | seat of a second-order administrative division |
| 1797318 | Qujing | Qujing | CN | China | 25.48333 | 103.78333 | 1408500 | Yunnan | populated place |
| 8581443 | South Tangerang | South Tangerang | ID | Indonésia | -6.28862 | 106.71789 | 1404785 | Banten | populated place |
| 1784990 | Zhanjiang | Zhanjiang | CN | China | 21.23391 | 110.38749 | 1400709 | Guangdong | seat of a second-order administrative division |
| 2037355 | Fushun | Fushun | CN | China | 41.88669 | 123.94363 | 1400646 | Liaoning | seat of a second-order administrative division |
| 5391811 | San Diego | San Diego | US | EUA | 32.71571 | -117.16472 | 1394928 | Califórnia | seat of a second-order administrative division |
| 1258847 | Rājkot | Rajkot | IN | Índia | 22.29161 | 70.79322 | 1390640 | Gujarate | populated place |
| 1801792 | Luoyang | Luoyang | CN | China | 34.67345 | 112.43684 | 1390581 | Henan | seat of a second-order administrative division |
| 2078025 | Adelaide | Adelaide | AU | Austrália | -34.92866 | 138.59863 | 1387290 | Austrália Meridional | seat of a first-order administrative division |
| 4005539 | Guadalajara | Guadalajara | MX | México | 20.67738 | -103.34749 | 1385629 | Jalisco | seat of a first-order administrative division |
| 5110266 | The Bronx | The Bronx | US | EUA | 40.84985 | -73.86641 | 1385108 | Nova Iorque | seat of a second-order administrative division |
| 1802875 | Guankou | Guankou | CN | China | 28.15861 | 113.62709 | 1380000 | Hunan | seat of a third-order administrative division |
| 3173435 | Milan | Milão | IT | Itália | 45.46427 | 9.18951 | 1371498 | Lombardia | seat of a first-order administrative division |
| 1262111 | Najafgarh | Najafgarh | IN | Índia | 28.60922 | 76.97982 | 1365000 | National Capital Territory of Delhi | populated place |
| 2427123 | N'Djamena | N'Djamena | TD | Chade | 12.10672 | 15.0444 | 1359526 | Ville de N'Djamena | capital of a political entity |
| 1808963 | Handan | Handan | CN | China | 36.60999 | 114.48764 | 1358318 | Hebei Sheng | seat of a second-order administrative division |
| 1183460 | Bannu | Bannu | PK | Paquistão | 32.98527 | 70.60403 | 1357890 | Khyber Pakhtunkhwa | seat of a second-order administrative division |
| 1786764 | Yichang | Yichang | CN | China | 30.71444 | 111.28472 | 1350150 | Hubei | seat of a second-order administrative division |
| 1070940 | Antananarivo | Antananarivo | MG | Madagascar | -18.91368 | 47.53613 | 1349501 | Analamanga | capital of a political entity |
| 1808198 | Heze | Heze | CN | China | 35.23929 | 115.47358 | 1346717 | Shandong | seat of a second-order administrative division |
| 323777 | Antalya | Antália | TR | Turquia | 36.90812 | 30.69556 | 1344000 | Antália | seat of a first-order administrative division |
| 2293521 | Abobo | Abobo | CI | Côte d’Ivoire | 5.41613 | -4.0159 | 1340083 | Abidjan | populated place |
| 1269300 | Jamshedpur | Jamshedpur | IN | Índia | 22.80278 | 86.18545 | 1339438 | Jharkhand | populated place |
| 2232593 | Douala | Douala | CM | Camarões | 4.04827 | 9.70428 | 1338082 | Litoral | seat of a first-order administrative division |
| 99532 | Basrah | Bassora | IQ | Iraque | 30.50852 | 47.7804 | 1326564 | Muḩāfaz̧at al Başrah | seat of a first-order administrative division |
| 6940394 | Saitama | Saitama | JP | Japão | 35.90807 | 139.65657 | 1324854 | Saitama | seat of a first-order administrative division |
| 1270926 | Gorakhpur | Gorakhpur | IN | Índia | 29.44768 | 75.67206 | 1324570 | Haryāna | populated place |
| 2440485 | Niamey | Niamey | NE | Níger | 13.51366 | 2.1098 | 1323691 | Niamey | capital of a political entity |
| 8533133 | Liupanshui | Liupanshui | CN | China | 26.59444 | 104.83333 | 1320825 | Guizhou | populated place |
| 3860259 | Córdoba | Córdova | AR | Argentina | -31.40648 | -64.18853 | 1317298 | Córdova | seat of a first-order administrative division |
| 1801180 | Maoming | Chaozhou | CN | China | 21.66625 | 110.91364 | 1307802 | Guangdong | seat of a second-order administrative division |
| 2210247 | Tripoli | Trípoli | LY | Líbia | 32.88743 | 13.18733 | 1302947 | Tripoli | capital of a political entity |
| 4684888 | Dallas | Dallas | US | EUA | 32.78306 | -96.80667 | 1300092 | Texas | seat of a second-order administrative division |
| 3946083 | Callao | El Callao | PE | Peru | -12.05162 | -77.13452 | 1300000 | Callao | seat of a first-order administrative division |
| 109223 | Madinah | Medina | SA | Arábia Saudita | 24.46861 | 39.61417 | 1300000 | Medina Region | seat of a first-order administrative division |
| 2220957 | Yaoundé | Yaoundé | CM | Camarões | 3.86667 | 11.51667 | 1299369 | Centro | capital of a political entity |
| 1797551 | Qinzhou | Qinzhou | CN | China | 21.98247 | 108.65061 | 1296300 | Guangxi Zhuang Autonomous Region | seat of a second-order administrative division |
| 1801934 | Luohe | Luohe | CN | China | 33.56394 | 114.04272 | 1294974 | Henan | seat of a second-order administrative division |
| 1790587 | Xiangyang | Xiangyang | CN | China | 32.0422 | 112.14479 | 1294733 | Hubei | seat of a second-order administrative division |
| 1806408 | Yangjiang | Yangjiang | CN | China | 21.85563 | 111.96272 | 1292987 | Guangdong | seat of a second-order administrative division |
| 1261731 | Nashik | Nashik | IN | Índia | 19.99727 | 73.79096 | 1289497 | Maarastra | seat of a second-order administrative division |
| 1786760 | Yixing | Yixing | CN | China | 31.36059 | 119.82016 | 1285785 | Jiangsu | seat of a third-order administrative division |
| 1259652 | Pimpri | Pimpri | IN | Índia | 18.62292 | 73.80696 | 1284606 | Maarastra | populated place |
| 250441 | Amman | Amã | JO | Jordânia | 31.95522 | 35.94503 | 1275857 | Amã | capital of a political entity |
| 1723510 | Budta | Budta | PH | Filipinas | 7.20417 | 124.43972 | 1273715 | Região Autónoma do Mindanau Muçulmano | populated place |
| 792680 | Belgrade | Belgrado | RS | Sérvia | 44.80401 | 20.46513 | 1273651 | Central Serbia | capital of a political entity |
| 3441575 | Montevideo | Montevidéu | UY | Uruguai | -34.90328 | -56.18816 | 1270737 | Department de Montevidéu | capital of a political entity |
| 1788046 | Xuchang | Xuchang | CN | China | 34.03189 | 113.86299 | 1265536 | Henan | seat of a second-order administrative division |
| 1268295 | Kalyān | Kalyān | IN | Índia | 19.2437 | 73.13554 | 1262255 | Maarastra | populated place |
| 1783745 | Zigong | Zigong | CN | China | 29.34162 | 104.77689 | 1262064 | Sujuão | populated place |
| 1254661 | Thāne | Thāne | IN | Índia | 19.19704 | 72.96355 | 1261517 | Maarastra | populated place |
| 2867714 | Munich | Munique | DE | Alemanha | 48.13743 | 11.57549 | 1260391 | Baviera | seat of a first-order administrative division |
| 520555 | Nizhniy Novgorod | Nizhniy Novgorod | RU | Rússia | 56.32867 | 44.00205 | 1259013 | Oblast de Níjni Novgorod | seat of a first-order administrative division |
| 1642548 | Jepara | Jepara | ID | Indonésia | -6.5924 | 110.671 | 1257912 | Java Central | seat of a second-order administrative division |
| 1040652 | Maputo | Maputo | MZ | Moçambique | -25.96553 | 32.58322 | 1254837 | Maputo City | capital of a political entity |
| 10630003 | Xuzhou | Xuzhou | CN | China | 34.20442 | 117.28386 | 1253991 | Jiangsu | seat of a second-order administrative division |
| 110336 | Dammam | Dammam | SA | Arábia Saudita | 26.43442 | 50.10326 | 1252523 | Ash Sharqiyah | seat of a first-order administrative division |
| 268743 | Ra’s Bayrūt | Ra’s Bayrūt | LB | Líbano | 33.9 | 35.48333 | 1251739 | Beyrouth | section of populated place |
| 1799491 | Neijiang | Neijiang | CN | China | 29.58354 | 105.06216 | 1251095 | Sujuão | seat of a third-order administrative division |
| 115019 | Shiraz | Xiraz | IR | República Islâmica do Irã | 29.61031 | 52.53113 | 1249942 | Fars | seat of a first-order administrative division |
| 1808316 | Heshan | Heshan | CN | China | 28.56938 | 112.34733 | 1249807 | Hunan | seat of a second-order administrative division |
| 214481 | Kananga | Kananga | CD | Congo - Kinshasa | -5.89624 | 22.41659 | 1247168 | Lulua | seat of a first-order administrative division |
| 551487 | Kazan | Cazã | RU | Rússia | 55.78874 | 49.12214 | 1243500 | Tartaristão | seat of a first-order administrative division |
| 1835553 | Suwon | Suwon | KR | Coreia do Sul | 37.29111 | 127.00889 | 1241311 | Gyeonggi-do | seat of a first-order administrative division |
| 1805518 | Jining | Jining | CN | China | 35.405 | 116.58139 | 1241012 | Shandong | populated place |
| 3648522 | Barquisimeto | Barquisimeto | VE | Venezuela | 10.0647 | -69.35703 | 1240714 | Estado Lara | seat of a first-order administrative division |
| 349076 | Shubrā al Khaymah | Shubrā al Khaymah | EG | Egito | 30.12511 | 31.25053 | 1240289 | Qaliubia | seat of a second-order administrative division |
| 3718426 | Port-au-Prince | Porto Príncipe | HT | Haiti | 18.54349 | -72.33881 | 1234742 | Oeste | capital of a political entity |
| 1788534 | Xinyang | Xinyang | CN | China | 32.12278 | 114.06556 | 1230042 | Henan | populated place |
| 1803834 | Liaocheng | Liaocheng | CN | China | 36.45064 | 116.00247 | 1229768 | Shandong | seat of a second-order administrative division |
| 10942283 | Jinzhong | Jinzhong | CN | China | 37.68403 | 112.75471 | 1226617 | Shanxi | seat of a second-order administrative division |
| 1263214 | Meerut | Meerut | IN | Índia | 28.98002 | 77.70636 | 1223184 | Utar Pradexe | populated place |
| 1261162 | Nowrangapur | Nowrangapur | IN | Índia | 19.23114 | 82.54826 | 1220946 | State of Odisha | seat of a second-order administrative division |
| 94824 | Karbala | Karbala | IQ | Iraque | 32.61603 | 44.02488 | 1218732 | Karbalāʼ | seat of a first-order administrative division |
| 1808956 | Changzhi | Changzhi | CN | China | 36.18389 | 113.10528 | 1214940 | Shanxi | seat of a second-order administrative division |
| 1792892 | Tianshui | Tianshui | CN | China | 34.57952 | 105.74238 | 1212791 | Gansu | seat of a third-order administrative division |
| 186301 | Mombasa | Mombaça | KE | Quênia | -4.05466 | 39.66359 | 1208333 | Condado de Mombaça | seat of a first-order administrative division |
| 1311874 | Mandalay | Mandalay | MM | Mianmar (Birmânia) | 21.97473 | 96.08359 | 1208099 | Mandalay | seat of a first-order administrative division |
| 3689147 | Barranquilla | Barranquilha | CO | Colômbia | 10.96854 | -74.78132 | 1206319 | Departamento del Atlántico | seat of a first-order administrative division |
| 1508291 | Chelyabinsk | Chelyabinsk | RU | Rússia | 55.15402 | 61.42915 | 1202371 | Oblast de Cheliabinsk | seat of a first-order administrative division |
| 3523349 | Mérida | Mérida | MX | México | 20.967 | -89.62318 | 1201000 | Iucatã | seat of a first-order administrative division |
| 1862415 | Hiroshima | Hiroxima | JP | Japão | 34.4 | 132.45 | 1200754 | Hiroshima | seat of a first-order administrative division |
| 894701 | Bulawayo | Bulawayo | ZW | Zimbábue | -20.15 | 28.58333 | 1200337 | Bulawayo | seat of a first-order administrative division |
| 1518980 | Shymkent | Shymkent | KZ | Cazaquistão | 42.3 | 69.6 | 1200000 | Shymkent | seat of a first-order administrative division |
| 3492914 | Santiago de los Caballeros | Santiago de los Caballeros | DO | República Dominicana | 19.45036 | -70.69085 | 1200000 | Santiago | seat of a first-order administrative division |
| 1791636 | Weinan | Weinan | CN | China | 34.50355 | 109.50891 | 1199290 | Shaanxi | seat of a second-order administrative division |
| 1271308 | Ghāziābād | Ghāziābād | IN | Índia | 28.66535 | 77.43915 | 1199191 | Utar Pradexe | seat of a second-order administrative division |
| 1039854 | Matola | Matola | MZ | Moçambique | -25.96222 | 32.45889 | 1198988 | Província de Maputo | seat of a first-order administrative division |
| 1272979 | Dhanbad | Dhanbad | IN | Índia | 23.79759 | 86.42992 | 1196214 | Jharkhand | seat of a second-order administrative division |
| 12747064 | Hong Kong Island | Hong Kong Island | HK | Hong Kong | 22.26302 | 114.18419 | 1195529 | section of populated place | |
| 1272423 | Dombivli | Dombivli | IN | Índia | 19.21667 | 73.08333 | 1193000 | Maarastra | populated place |
| 2548885 | Fes | Fez | MA | Marrocos | 34.03313 | -5.00028 | 1191905 | Fès-Meknès | seat of a first-order administrative division |
| 3514674 | Gustavo Adolfo Madero | Gustavo Adolfo Madero | MX | México | 19.49392 | -99.11075 | 1185772 | Cidade do México | populated place |
| 2377450 | Nouakchott | Nouakchott | MR | Mauritânia | 18.08581 | -15.9785 | 1184530 | capital of a political entity | |
| 212730 | Kisangani | Kisangani | CD | Congo - Kinshasa | 0.51528 | 25.19099 | 1181788 | Tshopo | seat of a first-order administrative division |
| 1805953 | Jiaxing | Jiaxing | CN | China | 30.7522 | 120.75 | 1180000 | Zhejiang | seat of a second-order administrative division |
| 1496153 | Omsk | Omsk | RU | Rússia | 54.99244 | 73.36859 | 1172070 | Oblast de Omsk | seat of a first-order administrative division |
| 3461786 | Guarulhos | Guarulhos | BR | Brasil | -23.46278 | -46.53333 | 1169577 | São Paulo | populated place |
| 1624917 | Bandar Lampung | Bandar Lampung | ID | Indonésia | -5.42917 | 105.26111 | 1166066 | Lampung | seat of a first-order administrative division |
| 3067696 | Prague | Praga | CZ | Chéquia | 50.08804 | 14.42076 | 1165581 | Praga | capital of a political entity |
| 1253405 | Varanasi | Varanasi | IN | Índia | 25.31668 | 83.01041 | 1164404 | Utar Pradexe | populated place |
| 6295587 | Batam | Batam | ID | Indonésia | 1.14937 | 104.02491 | 1164352 | Riau | populated place |
| 1805179 | Jiujiang | Jiujiang | CN | China | 29.70475 | 116.00206 | 1164268 | Jiangxi | seat of a second-order administrative division |
| 499099 | Samara | Samara | RU | Rússia | 53.20007 | 50.15 | 1163399 | Oblast de Samara | seat of a first-order administrative division |
| 2353151 | Aba | Aba | NG | Nigéria | 5.10658 | 7.36667 | 1160000 | Abia | seat of a second-order administrative division |
| 2618425 | Copenhagen | Copenhaga | DK | Dinamarca | 55.67594 | 12.56553 | 1153615 | Region Hovedstaden | capital of a political entity |
| 727011 | Sofia | Sófia | BG | Bulgária | 42.69751 | 23.32415 | 1152556 | Sofiya-Grad | capital of a political entity |
| 1785294 | Anyang | Anyang | CN | China | 36.096 | 114.38278 | 1146839 | Henan | seat of a second-order administrative division |
| 2655603 | Birmingham | Birmingham | GB | Reino Unido | 52.48142 | -1.89983 | 1144919 | Inglaterra | seat of a second-order administrative division |
| 1253184 | Vijayawada | Vijayawada | IN | Índia | 16.50745 | 80.6466 | 1143232 | Andra Pradexe | populated place |
| 616052 | Yerevan | Yerevan | AM | Armênia | 40.18111 | 44.51361 | 1141100 | Erevã | capital of a political entity |
| 1816373 | Bijie | Bijie | CN | China | 27.30193 | 105.28627 | 1137383 | Guizhou | seat of a second-order administrative division |
| 3995465 | Monterrey | Monterrei | MX | México | 25.68435 | -100.31721 | 1135512 | Nuevo León | seat of a first-order administrative division |
| 202061 | Kigali | Kigali | RW | Ruanda | -1.94995 | 30.05885 | 1132686 | Kigali Province | capital of a political entity |
| 501175 | Rostov-na-Donu | Rostov do Don | RU | Rússia | 47.23135 | 39.72328 | 1130305 | Oblast de Rostov | seat of a first-order administrative division |
| 1783763 | Zhuzhou | Zhuzhou | CN | China | 27.83333 | 113.15 | 1129687 | Hunan | seat of a second-order administrative division |
| 1648473 | Bogor | Bogor | ID | Indonésia | -6.59444 | 106.78917 | 1127408 | Java Ocidental | populated place |
| 1978681 | Malingao | Malingao | PH | Filipinas | 7.16083 | 124.475 | 1121974 | Soccsksargen | populated place |
| 479561 | Ufa | Ufa | RU | Rússia | 54.74306 | 55.96779 | 1120547 | Bascortostão | seat of a first-order administrative division |
| 1258526 | Ranchi | Ranchi | IN | Índia | 23.34316 | 85.3094 | 1120374 | Jharkhand | seat of a first-order administrative division |
| 587084 | Baku | Bacu | AZ | Azerbaijão | 40.37767 | 49.89201 | 1116513 | Baki | capital of a political entity |
| 1787858 | Shangrao | Shangrao | CN | China | 28.45179 | 117.94287 | 1116486 | Jiangxi | seat of a second-order administrative division |
| 927967 | Lilongwe | Lilongwe | MW | Malauí | -13.96692 | 33.78725 | 1115815 | Região Central | capital of a political entity |
| 1807700 | Huaibei | Huaibei | CN | China | 33.97444 | 116.79167 | 1113321 | Anhui | seat of a second-order administrative division |
| 2331447 | Maiduguri | Maiduguri | NG | Nigéria | 11.84692 | 13.15712 | 1110000 | Borno | seat of a first-order administrative division |
| 1800818 | Meishan | Meishan | CN | China | 30.04392 | 103.83696 | 1107742 | Sujuão | seat of a second-order administrative division |
| 3530589 | Ciudad Nezahualcoyotl | Ciudad Nezahualcoyotl | MX | México | 19.40061 | -99.01483 | 1104585 | México | populated place |
| 152224 | Mwanza | Mwanza | TZ | Tanzânia | -2.51667 | 32.9 | 1104521 | Mwanza | seat of a first-order administrative division |
| 2111149 | Sendai | Sendai | JP | Japão | 38.26667 | 140.86667 | 1096704 | Miyagi | seat of a first-order administrative division |
| 1278710 | Amritsar | Amritsar | IN | Índia | 31.62234 | 74.87534 | 1092450 | Punjab | populated place |
| 1502026 | Krasnoyarsk | Krasnoyarsk | RU | Rússia | 56.02668 | 92.90765 | 1090811 | Krasnoyarskiy | seat of a first-order administrative division |
| 1810820 | Fuzhou | Fuzhou | CN | China | 27.95999 | 116.33333 | 1089888 | Jiangxi | seat of a second-order administrative division |
| 1809532 | Guigang | Guigang | CN | China | 23.11603 | 109.59472 | 1086327 | Guangxi Zhuang Autonomous Region | seat of a second-order administrative division |
| 1631761 | Pekanbaru | Pekanbaru | ID | Indonésia | 0.51667 | 101.44167 | 1085000 | Riau | seat of a first-order administrative division |
| 3143244 | Oslo | Oslo | NO | Noruega | 59.91273 | 10.74609 | 1082575 | Oslo | capital of a political entity |
| 2337639 | Ilorin | Ilorin | NG | Nigéria | 8.49664 | 4.54214 | 1080000 | Kwara | seat of a first-order administrative division |
| 1808370 | Hengyang | Hengyang | CN | China | 26.88946 | 112.61888 | 1075516 | Hunan | populated place |
| 1278994 | Prayagraj | Allahabad | IN | Índia | 25.44478 | 81.84322 | 1073438 | Utar Pradexe | populated place |
| 1842485 | Goyang-si | Goyang-si | KR | Coreia do Sul | 37.65639 | 126.835 | 1073069 | Gyeonggi-do | seat of a second-order administrative division |
| 1253102 | Visakhapatnam | Vishakhapatnam | IN | Índia | 17.68009 | 83.20161 | 1063178 | Andra Pradexe | seat of a second-order administrative division |
| 1785781 | Yulin | Yulin | CN | China | 22.6305 | 110.14686 | 1056743 | Guangxi Zhuang Autonomous Region | seat of a third-order administrative division |
| 1805540 | Jingzhou | Jingzhou | CN | China | 30.35028 | 112.19028 | 1052282 | Hubei | seat of a second-order administrative division |
| 964420 | Port Elizabeth | Porto Elizabeth | ZA | África do Sul | -33.96109 | 25.61494 | 1050078 | Cabo Oriental | seat of a second-order administrative division |
| 611717 | Tbilisi | Tiblíssi | GE | Geórgia | 41.69411 | 44.83368 | 1049498 | Tiblíssi | capital of a political entity |
| 472045 | Voronezh | Voronezh | RU | Rússia | 51.67204 | 39.1843 | 1047549 | Oblast de Voronej | seat of a first-order administrative division |
| 1788572 | Xinxiang | Xinxiang | CN | China | 35.19033 | 113.80151 | 1047088 | Henan | seat of a second-order administrative division |
| 1786746 | Yichun | Yichun | CN | China | 27.83333 | 114.4 | 1045952 | Jiangxi | seat of a second-order administrative division |
| 1668399 | Taichung | Taichung | TW | Taiwan | 24.1469 | 120.6839 | 1040725 | Taiwan | seat of a second-order administrative division |
| 2322911 | Sokoto | Sokoto | NG | Nigéria | 13.06269 | 5.24322 | 1040000 | Sokoto | seat of a first-order administrative division |
| 2335953 | Jos | Jos | NG | Nigéria | 9.92849 | 8.89212 | 1040000 | Plateau | seat of a first-order administrative division |
| 2530335 | Tangier | Tânger | MA | Marrocos | 35.76727 | -5.79975 | 1035141 | Tanger-Tetouan-Al Hoceima | seat of a first-order administrative division |
| 1254745 | Teni | Teni | IN | Índia | 10.01115 | 77.47772 | 1034724 | Tamil Nādu | section of populated place |
| 1790353 | Xianyang | Xianyang | CN | China | 34.33778 | 108.70261 | 1034081 | Shaanxi | seat of a third-order administrative division |
| 3996069 | Mexicali | Mexicali | MX | México | 32.62781 | -115.45446 | 1032686 | Baixa Califórnia | seat of a first-order administrative division |
| 2255414 | Pointe-Noire | Pointe-Noire | CG | Congo | -4.77609 | 11.86352 | 1032000 | Pointe-Noire | seat of a first-order administrative division |
| 3395981 | Maceió | Maceió | BR | Brasil | -9.66583 | -35.73528 | 1031597 | Alagoas | seat of a first-order administrative division |
| 3467865 | Campinas | Campinas e Região | BR | Brasil | -22.90556 | -47.06083 | 1031554 | São Paulo | populated place |
| 1796556 | Sanya | Sanya | CN | China | 18.25435 | 109.50947 | 1031396 | Hainan | seat of a second-order administrative division |
| 1185188 | Rangpur | Rangpur | BD | Bangladesh | 25.74664 | 89.25166 | 1031388 | Rangpur | seat of a first-order administrative division |
| 94787 | Kirkuk | Kirkuk | IQ | Iraque | 35.46806 | 44.39222 | 1031000 | Kirkuk | seat of a first-order administrative division |
| 1269633 | Jabalpur | Jabalpur | IN | Índia | 23.16697 | 79.95006 | 1030168 | Madia Pradexe | populated place |
| 1185186 | Comilla | Comilla | BD | Bangladesh | 23.46186 | 91.18503 | 1030000 | Chittagong | populated place |
| 1795874 | Shaoguan | Shaoguan | CN | China | 24.8 | 113.58333 | 1028460 | Guangdong | seat of a second-order administrative division |
| Cities GeoNames atualizado a 18/12/2025 às 17:13 UTC | Linha 8: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 9: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 10: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 11: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 12: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 13: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 14: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 15: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 16: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 17: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 18: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 19: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 20: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 21: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 22: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 23: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 24: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 25: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 26: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 27: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 28: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 32: célula(s) alteradas [7] Linha 37: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 38: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 43: célula(s) alteradas [1] [7] Linha 48: célula(s) alteradas [8] Linha 49: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 50: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 51: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 52: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 53: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 54: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 55: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 56: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 60: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 61: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 62: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 94: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 95: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 96: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 97: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 98: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 99: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 100: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 101: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 102: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 103: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 104: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 105: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 106: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 107: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 108: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 109: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 110: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 111: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 112: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 113: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 114: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 115: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 116: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 117: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 118: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 119: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 120: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 121: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 122: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 123: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 124: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 125: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 126: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 127: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 128: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 129: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 130: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 131: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 132: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 133: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 134: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 135: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 136: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 137: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 138: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 139: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 140: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 141: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 142: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 143: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 144: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 145: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 146: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 147: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 148: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 149: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 150: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 151: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 152: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 153: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 154: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 155: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 156: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 157: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 158: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 159: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 160: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 161: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 162: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 163: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 164: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 165: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 166: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 167: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 168: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 169: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 170: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 171: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 172: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 173: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 174: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 175: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 176: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 177: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 178: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 179: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 180: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 181: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 182: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 183: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 184: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 185: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 186: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 187: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 188: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 189: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 190: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 191: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 192: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 193: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 194: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 195: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 196: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 197: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 198: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 199: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 200: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 201: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 202: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 203: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 204: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 205: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 206: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 207: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 208: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 209: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 210: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 211: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 212: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 213: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 214: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 215: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 216: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 217: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 218: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 219: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 220: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 221: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 222: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 223: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 224: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 225: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 226: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 227: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 228: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 229: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 230: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 231: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 232: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 233: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 234: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 235: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 236: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 237: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 238: célula(s) alteradas [0] [1] [2] [5] [6] [7] Linha 239: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 240: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 241: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 242: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 243: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 244: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 245: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 246: 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[1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 377: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 378: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 379: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 380: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 381: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 382: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 383: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 384: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 385: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 386: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 387: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 388: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 389: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 390: célula(s) alteradas [0] [1] [2] [3] [4] 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alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 420: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 421: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 422: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 423: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 424: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 425: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 426: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 427: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 428: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 429: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 430: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 431: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 432: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 433: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 434: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 435: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 436: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 437: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 438: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 439: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 440: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 441: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 442: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 443: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 444: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 445: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 446: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 447: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 448: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 449: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 450: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 451: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 452: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 453: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 454: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 455: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 456: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 457: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 458: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 459: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 460: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 461: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 462: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 463: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 464: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 465: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 466: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 467: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 468: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 469: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 470: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 471: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 472: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 473: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 474: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 475: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 476: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 477: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 478: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 479: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 480: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 481: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 482: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 483: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 484: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 485: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 486: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 487: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 488: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 489: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] [9] Linha 490: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 491: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 492: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 493: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 494: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 495: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 496: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 497: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] Linha 498: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] Linha 499: célula(s) alteradas [0] [1] [2] [3] [4] [5] [6] [7] [8] Linha 500: célula(s) alteradas [0] [1] [2] [5] [6] [7] [8] | ||||||||
| http://api.geonames.org/searchJSON?featureClass=P&orderby=population&cities=cities15000&maxRows=500&lang=pt&username=pedromartins |
| ISO 3 | ISO 2 | País | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| AFG | AF | Afeganistão | 17.264034507639 | 17.8343849379 | 18.558199523067 | 19.705909575367 | 22.261479901092 | 24.464911842157 | 25.262210344614 | 25.393925058091 | 25.473052963117 |
| ZAF | ZA | África do Sul | 51.967990831392 | 53.296216618003 | 56.258995488363 | 59.8241758379 | 62.629912056057 | 63.209634993723 | 63.437308831098 | 63.476669921033 | 63.582370516355 |
| ALB | AL | Albânia | 35.897047801284 | 38.295683886864 | 41.613582960931 | 45.993766692058 | 51.881577429272 | 55.157929137489 | 57.140859215554 | 57.864347774738 | 58.210608613786 |
| DEU | DE | Alemanha | 80.013321032775 | 80.046563182988 | 80.094216090564 | 80.174516851038 | 80.305702559949 | 80.697437163281 | 81.470005500274 | 81.7867852781 | 81.903436669213 |
| AND | AD | Andorra | 94.765892028809 | 93.352855867466 | 92.255935668945 | 89.956363194542 | 88.760472605661 | 88.518085012206 | 88.590778042752 | 88.754876626729 | 88.820160921708 |
| AGO | AO | Angola | 37.878002182162 | 44.211002539686 | 50.50706534842 | 56 | 60.131028953505 | 63.51567832685 | 67.456827020819 | 69.050618897751 | 69.851503222046 |
| AIA | AI | Anguila (Território ultramarino britânico) | |||||||||
| ATG | AG | Antígua e Barbuda | 35.490088298291 | 34.604587183781 | 32.232607204123 | 29.173799572375 | 26.017044785059 | 25 | 24.640615627504 | 24.511448400041 | 24.450015668742 |
| SAU | SA | Arábia Saudita | 77.008735072739 | 78.920238765506 | 79.970486081945 | 80.9775503093 | 82.079166854446 | 82.956277340616 | 83.806435285194 | 84.134943002399 | 84.296238831542 |
| DZA | DZ | Argélia | 52.14212769829 | 56.013117097774 | 59.852123944569 | 63.659854189014 | 67.123505786746 | 70.143307086161 | 73.054112629339 | 74.179586235451 | 74.732808364138 |
| ARG | AR | Argentina | 86.919732711672 | 88.185367751182 | 89.176027113345 | 90.123373773607 | 90.993005194098 | 91.492301910863 | 91.94390265949 | 92.112838186126 | 92.194513225791 |
| ARM | AM | Arménia | 67.715704725076 | 66.395696427158 | 64.959237917436 | 64.533421063751 | 64.330416404313 | 64.492962343155 | 65.174217253699 | 65.562446287448 | 65.695688200885 |
| ABW | AW | Aruba (Território autónomo do Reino dos Países Baixos) | 65.432816174471 | 65.376703433065 | 65.354549779999 | 64.958022644217 | 64.161296554948 | 63.228837404305 | 62.002883756636 | 61.881165792426 | 61.835149267559 |
| AUS | AU | Austrália | 85.395192647634 | 85.286871050301 | 85.107160857826 | 85.619087122196 | 86.219860051214 | 86.877864253936 | 87.271347045898 | 87.334326825381 | 87.486695565376 |
| AUT | AT | Áustria | 64.110852115312 | 65.862935259604 | 66.769023896957 | 66.979795065414 | 67.104742925475 | 67.557617553738 | 68.5410177924 | 68.998085127906 | 69.226535827602 |
| AZE | AZ | Azerbaijão | 53.696067810059 | 52.311676025391 | 51.132083892822 | 52.502853393555 | 53.284836771487 | 55.157048632828 | 58.293469176194 | 58.438281585468 | 58.50753504837 |
| BHS | BS | Baamas | 80.401533049016 | 80.744822659418 | 81.036116156768 | 81.86055780351 | 82.419810443159 | 82.256857143236 | 81.664260023285 | 81.320071704773 | 81.321379917368 |
| BGD | BD | Bangladexe | 19.863508847405 | 21.661231550566 | 23.314511497524 | 25.476954070151 | 27.72543725887 | 29.539509947789 | 31.116892732152 | 31.673734726234 | 32.157846503683 |
| BRB | BB | Barbados | 63.55864632599 | 63.236264625874 | 62.537939780304 | 60.638988710842 | 59.236600899036 | 59.245070089964 | 59.301458332401 | 59.353851410769 | 59.423574023578 |
| BHR | BH | Barém | 88.14751416715 | 88.239479662413 | 87.83562095956 | 91.168165501421 | 100 | 100 | 100 | 100 | 100 |
| BEL | BE | Bélgica | 78.555427899019 | 80.340172800432 | 82.015252040303 | 83.564544974371 | 84.971930958372 | 86.221289348044 | 87.296499499127 | 87.489200269855 | 87.551492636772 |
| BLZ | BZ | Belize | 47.357189250865 | 47.468342081409 | 47.683684750738 | 46.727119402814 | 45.191483819356 | 43.931184585988 | 42.649842440311 | 42.137325126214 | 41.945943750498 |
| BEN | BJ | Benim | 34.817870074475 | 36.838513690368 | 38.275951725888 | 40.309774900652 | 42.891689123935 | 45.940740325766 | 49.44615672199 | 50.962700001089 | 51.745792296459 |
| BMU | BM | Bermudas (Território ultramarino britânico) | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| BLR | BY | Bielorússia | 66.426979064941 | 68.016273498535 | 69.917229543473 | 72.03101348877 | 74.550140380859 | 76.626388549805 | 77.789038579041 | 78.473278789291 | 78.814642066633 |
| BOL | BO | Bolívia | 55.929069008005 | 59.391206278167 | 61.858720157559 | 64.213306220526 | 66.407566565913 | 68.395805129767 | 70.044263552825 | 70.635259870813 | 70.915141404454 |
| BES | BQ | Bonaire, Santo Eustáquio e Saba (Países Baixos) | |||||||||
| BIH | BA | Bósnia-Herzegovina | 39.303236624432 | 40.932787021915 | 42.553989860659 | 44.15707993368 | 45.73921533326 | 47.571164508701 | 49.9710852123 | 51.021528706099 | 51.565723983431 |
| BWA | BW | Botsuana | 43.645566612629 | 49.611860336447 | 53.204772739879 | 58.453555468458 | 63.494597466528 | 65.410358431329 | 66.448816649455 | 66.588978717048 | 67.021265534986 |
| BRA | BR | Brasil | 74.86990069516 | 77.714499994245 | 81.148436542381 | 82.983879959695 | 84.343846036308 | 85.693569706188 | 86.9112186503 | 87.349556243881 | 87.615971023576 |
| BRN | BN | Brunei | 65.749605446152 | 68.813187900275 | 71.224680548842 | 73.552870858133 | 75.250655903 | 74.948462056856 | 74.774810891215 | 74.777264201422 | 74.819919388136 |
| BGR | BG | Bulgária | 67.038803100586 | 67.833541870117 | 68.263145446777 | 70.086959838867 | 71.514930725098 | 73.103057861328 | 73.323989868164 | 73.479916400522 | 73.732267158461 |
| BFA | BF | Burkina Fasso | 13.234605346923 | 14.894556571947 | 18.000350332944 | 22.01797784402 | 24.115092498158 | 25.621432645225 | 26.357837362863 | 27.279136974271 | 27.787247836516 |
| BDI | BI | Burundi | 6.2668875137056 | 7.1682938843501 | 8.043814498332 | 9.1806167624459 | 10.984309733549 | 14.669508547475 | 19.930998427397 | 22.32024460026 | 23.553476837228 |
| BTN | BT | Butão | 20.202604441383 | 23.995456717585 | 27.591523988402 | 30.937991783161 | 33.905196781355 | 36.698337569004 | 39.688883987344 | 40.936514361758 | 41.735245798994 |
| CPV | CV | Cabo Verde | 44.127942764135 | 49.595471714253 | 53.933214920228 | 57.797769576316 | 61.79742627323 | 66.904509476712 | 72.883852155878 | 75.033738060849 | 75.906424575338 |
| CMR | CM | Camarões | 40.088736327359 | 43.365495641877 | 46.24498294026 | 48.583785239468 | 50.850507537136 | 52.644086314274 | 54.255794916417 | 54.845874568832 | 55.128687851139 |
| KHM | KH | Camboja | 15.715749739004 | 17.496248800211 | 18.624221665557 | 19.092272005223 | 21.123225116876 | 30.066922254982 | 39.832658030922 | 40.374616187368 | 40.629078807251 |
| CAN | CA | Canadá | 76.556443707702 | 77.63564825875 | 78.629299550895 | 79.976061588297 | 81.012089225294 | 81.24656702767 | 81.950988871057 | 82.350089735397 | 82.525056440835 |
| QAT | QA | Catar | 92.923736885115 | 95.073686274088 | 96.294271892664 | 97.301665491817 | 98.506623216666 | 98.938240768115 | 99.161791383303 | 99.243997525719 | 99.283532519383 |
| KAZ | KZ | Cazaquistão | 57.207857364074 | 56.752954374836 | 56.023960765794 | 54.648187347239 | 54.20541274971 | 56.110604893088 | 59.987119354169 | 61.444157327248 | 61.756091949918 |
| TCD | TD | Chade | 21.201060464549 | 21.489847201425 | 21.652769076048 | 21.751904697797 | 21.847237819109 | 22.801125882897 | 24.734192179542 | 25.763555862969 | 26.330539517105 |
| CZE | CZ | Chéquia | 75.218790827643 | 74.709287293679 | 74.003825645677 | 73.63755454232 | 73.349559922272 | 73.037044287436 | 72.725490160421 | 72.696763837952 | 72.735238839682 |
| CHL | CL | Chile | 83.191197319911 | 84.416726889739 | 86.271091245781 | 86.776824448489 | 86.956013559221 | 87.465332034239 | 88.295349043838 | 88.639535276869 | 88.815861721797 |
| CHN | CN | China | 26.195701599121 | 29.040380477905 | 36.43202346623 | 42.98999786377 | 49.234027062804 | 57.32978439331 | 63.523423026626 | 65.217636108398 | 65.530144803552 |
| CYP | CY | Chipre | 67.136842660888 | 68.169172063277 | 68.772696679938 | 68.434067421198 | 67.522911155634 | 67.040247791807 | 66.718044347871 | 66.669482940758 | 66.673947752264 |
| COL | CO | Colômbia | 69.490757184354 | 71.823712185928 | 74.349357017925 | 76.004938901378 | 76.723297567212 | 77.163628053865 | 77.638253353704 | 78.046463313733 | 78.275571579544 |
| COM | KM | Comores | 28.348161990164 | 28.346841997637 | 28.036051219206 | 28.016895208368 | 28.85409829138 | 30.373200858511 | 32.063807219488 | 32.774603552875 | 33.15021809469 |
| COG | CG | Congo | 54.580425524938 | 56.406815347473 | 58.894738025587 | 61.310286636126 | 62.392287105874 | 63.135592763847 | 63.576090449426 | 63.642200334281 | 63.662675761562 |
| PRK | KP | Coreia do Norte | 58.435576273796 | 59.071354623872 | 59.419641770358 | 59.750643711985 | 60.307007469148 | 61.32475711745 | 62.635514053849 | 63.227436590683 | 63.538216542302 |
| KOR | KR | Coreia do Sul | 73.985116116857 | 78.400437187912 | 79.579960745642 | 81.390135228367 | 81.968507598649 | 81.639489860678 | 81.175959562291 | 81.162494162687 | 81.164555172042 |
| CIV | CI | Costa do Marfim | 39.684542970348 | 41.292087014519 | 43.084006501191 | 45.082298743724 | 47.23743015232 | 49.469489468955 | 51.835766082365 | 52.849254967667 | 53.40752016387 |
| CRI | CR | Costa Rica | 48.579820686532 | 53.595095426831 | 59.046237897539 | 64.899863221638 | 71.508144897492 | 75.019819576755 | 77.521153728126 | 78.440568761397 | 78.88193936417 |
| HRV | HR | Croácia | 54.068016188949 | 55.156836983924 | 55.681831925123 | 55.530721747544 | 55.282497932789 | 55.5812594509 | 56.528486336741 | 56.99775717336 | 57.24315606722 |
| CUB | CU | Cuba | 73.727989196777 | 74.583229064941 | 75.635383605957 | 76.003331954549 | 76.609913246869 | 76.87028503418 | 77.108032226562 | 77.105606079102 | 77.125987229632 |
| CUW | CW | Curaçau (Território autónomo do Reino dos Países Baixos) | 84.249093903197 | 87.223124147865 | 90.86921456629 | 91.174692360457 | 91.24913032784 | 91.322047164976 | 91.382088167822 | 91.40076843508 | 91.408092929223 |
| DNK | DK | Dinamarca | 84.835881427846 | 85.001219183633 | 85.099998474121 | 86.005970683287 | 86.865242004395 | 87.725405657733 | 88.239448547363 | 88.38802398377 | 88.552638542867 |
| DMA | DM | Domínica | 64.069062843226 | 64.892834742512 | 65.235274431664 | 66.240072491782 | 67.998326991198 | 69.867915346353 | 71.846576780589 | 72.682648635692 | 73.110501143803 |
| EGY | EG | Egito | 43.568882727017 | 42.701900936453 | 42.733939893252 | 42.956927140949 | 42.905717552015 | 42.605631408905 | 42.518153463067 | 42.632512900803 | 42.709811504192 |
| ARE | AE | Emirados Árabes Unidos | 78.685768441524 | 78.257807959821 | 79.287092479995 | 82.212283276352 | 83.371429914418 | 84.328438347119 | 85.195525568198 | 85.514734768249 | 85.668069900253 |
| ECU | EC | Equador | 55.089673314212 | 58.218469145091 | 60.686500510706 | 62.006870414572 | 62.740525861164 | 62.959188676731 | 63.077389778252 | 63.090183593227 | 63.130772955426 |
| ERI | ER | Eritreia | 18.568494796753 | 27.243524275417 | 34.098361968994 | 35.102203369141 | 35.634654998779 | 35.591007232666 | 35.116138458252 | 34.846927642822 | 34.696403503418 |
| SVK | SK | Eslováquia | 56.796787224379 | 56.625165484094 | 56.105889328491 | 55.418984759772 | 54.565074070433 | 53.870062800162 | 53.248199890653 | 53.190283107253 | 53.190805019646 |
| SVN | SI | Eslovénia | 50.583560943604 | 50.202910688413 | 50.697502979752 | 50.648781400021 | 50.119486279483 | 53.661216029414 | 55.384391784668 | 55.337781787356 | 55.537892778987 |
| ESP | ES | Espanha | 74.837435894905 | 75.588297274636 | 76.16505523496 | 77.220680192029 | 78.513815623489 | 79.245489274302 | 79.69556746178 | 79.954879456781 | 80.128491001856 |
| SWZ | SZ | Essuatíni | 22.934799069693 | 23.054025464018 | 22.8409330762 | 22.210244761934 | 22.333079206747 | 23.266026175963 | 24.665279892219 | 25.396682918542 | 25.808187850076 |
| USA | US | Estados Unidos | 75.268550826194 | 77.197705296192 | 79.074089786133 | 80.196158174846 | 80.699774467337 | 80.570798953509 | 79.997451762548 | 80.032497823971 | 80.071561119178 |
| EST | EE | Estónia | 71.269580743522 | 68.959092258676 | 67.385529072627 | 67.50805235788 | 67.804804292626 | 68.479660969055 | 69.881577894766 | 70.489233373674 | 70.677008552313 |
| ETH | ET | Etiópia | 12.764134626163 | 13.882557868957 | 14.919309616089 | 15.982967376709 | 17.493783950806 | 19.451566696167 | 21.626005172729 | 22.736768722534 | 23.058647155762 |
| FJI | FJ | Fiji | 41.147130430194 | 45.657467294118 | 48.064988087121 | 49.842136132138 | 52.04151477851 | 54.623418808365 | 57.186684691874 | 58.135270146527 | 58.606904973877 |
| PHL | PH | Filipinas | 36.001179135237 | 37.396065012044 | 39.138417139774 | 41.329770125852 | 45.520817672665 | 51.154904774523 | 54.107771989598 | 54.790234356833 | 55.124271616885 |
| FIN | FI | Finlândia | 63.877220153809 | 64.805938720703 | 67.122768534954 | 68.51405295176 | 69.785579879695 | 71.30549300406 | 73.084943979167 | 73.696759783595 | 74.006254860283 |
| FRA | FR | França | 74.067596643203 | 75.099106902635 | 76.514398314609 | 77.436331510544 | 77.09628448088 | 77.761091915007 | 78.711913176525 | 78.759192112336 | 78.780432312655 |
| GAB | GA | Gabão | 69.278171858678 | 74.989355087751 | 79.566040465044 | 83.432674639224 | 86.185259247294 | 88.085308383892 | 90.348075041015 | 91.224335545999 | 91.637596279731 |
| GMB | GM | Gâmbia | 35.176747854364 | 39.566660873925 | 46.972233287378 | 52.358213266061 | 56.011089660566 | 59.245849940839 | 62.206925169856 | 63.286988099628 | 63.802018245611 |
| GHA | GH | Gana | 35.743214867144 | 39.960521040618 | 43.937378664062 | 47.452843779576 | 50.72969267887 | 53.622641521075 | 56.217161397484 | 57.250609602871 | 57.807473777465 |
| GEO | GE | Geórgia | 55.13720103806 | 53.701400183841 | 52.493599959226 | 53.003628062436 | 55.196934474823 | 57.380380045567 | 58.999055276388 | 60.010162267911 | 60.752307779972 |
| GIB | GI | Gibraltar (Território ultramarino britânico) | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| GRD | GD | Granada | 33.403532246844 | 34.492737389035 | 35.870237101958 | 35.915826078673 | 35.874335948144 | 35.931949111171 | 36.205050251579 | 36.368884018349 | 36.462128238584 |
| GRC | GR | Grécia | 71.495490730553 | 72.083186841736 | 72.665642910984 | 74.261737669431 | 76.363147698308 | 77.519442631755 | 78.306684245555 | 78.550219098081 | 78.774630384209 |
| GRL | GL | Gronelândia (Território autónomo da Dinamarca) | 79.97265625 | 81.056663513184 | 81.451782226562 | 82.689910888672 | 84.27848815918 | 86.046257019043 | 87.284088197811 | 87.804940525683 | 88.063114774991 |
| GLP | GP | Guadalupe (Departamento e região ultramarina da França) | |||||||||
| GUM | GU | Guame (Território dos Estados Unidos da América) | 90.706734382147 | 92.036870065954 | 93.139531624286 | 93.789988832628 | 94.076517326731 | 94.079145108702 | 94.08049910878 | 94.106826184205 | 94.134934163892 |
| GTM | GT | Guatemala | 33.901279656152 | 35.755630511763 | 43.243475510505 | 48.055795157383 | 51.327038059271 | 53.441105026296 | 54.548316791163 | 55.258122821526 | 55.608231956554 |
| GGY | GG | Guernesey (Dependente da Coroa britânica) | |||||||||
| GUY | GY | Guiana | 29.568780955116 | 29.366438121652 | 28.761039057891 | 27.775855070619 | 26.459218513737 | 26.404391829758 | 26.434039735368 | 26.453673506818 | 26.465145727988 |
| GUF | FR | Guiana Francesa (Departamento e região ultramarina da França) | |||||||||
| GIN | GN | Guiné | 28.215041642612 | 29.499024118262 | 30.923110564522 | 32.396271215991 | 33.807542688021 | 35.03731918335 | 36.480220806055 | 37.238496746911 | 37.64540839547 |
| GNQ | GQ | Guiné Equatorial | 35.042057847236 | 38.804152426509 | 38.815458713399 | 42.28145971713 | 53.121880652918 | 68.951270615355 | 70.385331419325 | 70.891002944547 | 71.129066488352 |
| GNB | GW | Guiné-Bissau | 31.850983202952 | 34.931150149972 | 36.841205438823 | 38.380144366 | 40.009559631348 | 42.156814575195 | 44.303833007812 | 45.162715911865 | 45.592384338379 |
| HTI | HT | Haiti | 24.442636823226 | 29.830451640081 | 36.840849794218 | 42.579177185732 | 46.067974183875 | 49.433470775957 | 52.630747673215 | 53.852494996691 | 54.449681933562 |
| HND | HN | Honduras | 40.487740891369 | 42.861126638033 | 45.323335439213 | 48.170388417855 | 51.32737331611 | 54.382847375143 | 56.869165404269 | 57.836468901725 | 58.31323927051 |
| HKG | HK | Hong Kong (Região Administrativa Especial da China) | 99.310563190442 | 99.993297635159 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| HUN | HU | Hungria | 61.000502194261 | 62.626340322677 | 64.260234439221 | 66.126136779785 | 69.530548095703 | 70.484771728516 | 70.291732788086 | 70.158506424344 | 70.292302689143 |
| YEM | YE | Iémen | 20.182053172185 | 23.798485925151 | 26.605485938323 | 28.852378655883 | 30.623284830533 | 32.38831787027 | 35.70256045803 | 36.322631030829 | 36.570797983651 |
| IMN | IM | Ilha de Man (Dependente da Coroa britânica) | 51.702019704461 | 51.783884587979 | 51.828088758844 | 51.160838209557 | 51.939617030092 | 52.116484047453 | 52.190951978687 | 52.195560916266 | 52.183257173018 |
| CYM | KY | Ilhas Caimão (Território ultramarino britânico) | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| COK | CK | Ilhas Cook (Autoadministração em livre associação com a Nova Zelândia) | |||||||||
| FLK | FK | Ilhas Falkland (Malvinas) (Território ultramarino britânico) | |||||||||
| FRO | FO | Ilhas Faroé (Território autónomo da Dinamarca) | 33.479263305664 | 34.378868103027 | 35.698677062988 | 36.332057952881 | 37.253692626953 | 38.14315032959 | 38.668998718262 | 38.995982454676 | 39.197527012365 |
| MNP | MP | Ilhas Marianas do Norte (Território autónomo dependente dos Estados Unidos da América) | 89.738462679768 | 89.550893084362 | 90.157821264911 | 90.579627058 | 90.948818032811 | 91.325406850791 | 91.690836736291 | 91.878578864561 | 91.975411288757 |
| MHL | MH | Ilhas Marshall | 67.076995145877 | 67.539793940942 | 68.275598442234 | 70.623440106117 | 73.411565876181 | 75.470256820736 | 77.285864607515 | 77.985596619519 | 78.359392888428 |
| SLB | SB | Ilhas Salomão | 13.771687442352 | 14.620892263109 | 15.75235936927 | 17.600141587774 | 20.119405820626 | 23.663050206721 | 28.032755515002 | 29.351168985681 | 30.008882108839 |
| TCA | TC | Ilhas Turcas e Caicos (Território ultramarino britânico) | 74.352356505329 | 80.187511180129 | 84.613943468527 | 87.908436065312 | 90.37482946902 | 91.873793719385 | 93.196040843961 | 93.692247165324 | 93.932451365682 |
| VIR | VI | Ilhas Virgens Americanas (Território dos Estados Unidos da América) | 70.381842911445 | 85.537356532188 | 92.623444649749 | 93.910078382203 | 94.5724392667 | 94.941331909868 | 95.097402452129 | 95.217151472441 | 95.274079094592 |
| VGB | VG | Ilhas Virgens Britânicas (Território ultramarino britânico) | 38.599297780711 | 40.920731957673 | 41.981425408665 | 43.741214134139 | 46.342787166263 | 49.486395539085 | 53.170907482264 | 54.795911692548 | 55.640777449422 |
| IND | IN | Índia | 25.578401734504 | 26.566177213937 | 27.647040751252 | 29.094549715911 | 30.904219081009 | 32.54729900223 | 34.128672608833 | 34.755567399421 | 35.067691842419 |
| IDN | ID | Indonésia | 30.594517808872 | 36.302350515385 | 41.986154060066 | 46.237375757167 | 49.852137514889 | 53.172077178955 | 56.278528764877 | 57.49347042266 | 58.117935339788 |
| IRN | IR | Irão | 56.461112976074 | 60.42333984375 | 64.478012084961 | 67.870880126953 | 70.609262677439 | 73.356140357595 | 75.598640441895 | 76.33422088623 | 76.675956726074 |
| IRQ | IQ | Iraque | 69.719731906658 | 67.845869106155 | 67.633191384787 | 68.391425621866 | 69.058295337847 | 69.920524597168 | 69.868316650391 | 69.868286132812 | 69.868278503418 |
| IRL | IE | Irlanda | 56.909594113204 | 57.939194427476 | 59.124799789143 | 60.488298800646 | 61.891068934851 | 62.639212349276 | 63.471336672492 | 63.892025021506 | 64.115208246127 |
| ISL | IS | Islândia | 90.605911254883 | 91.639991760254 | 91.967419203164 | 92.377441015064 | 93.458834810789 | 93.727919768566 | 94.136710287472 | 94.178707122803 | 94.15182617848 |
| ISR | IL | Israel | 90.436615636354 | 90.851178657174 | 91.280965323746 | 91.638429627903 | 91.731642670395 | 91.70429215547 | 91.578845322894 | 91.497983427333 | 91.508956979451 |
| ITA | IT | Itália | 66.709368079219 | 66.816609947372 | 67.193228378624 | 67.589716931842 | 68.216374182986 | 69.610000610352 | 69.518749237061 | 69.483977976654 | 69.53815401233 |
| JAM | JM | Jamaica | 49.449436137847 | 50.566971396656 | 51.716555076825 | 52.768523792623 | 53.753567948081 | 55.199524801492 | 57.110364756363 | 57.987990603477 | 58.451014936743 |
| JPN | JP | Japão | 77.340417801031 | 78.019083801565 | 78.612680329537 | 85.957362048371 | 90.622858684065 | 91.353264410362 | 91.780992626789 | 91.977653242841 | 92.082690389147 |
| JEY | JE | Jersey (Dependente da Coroa britânica) | |||||||||
| DJI | DJ | Jibuti | 76.066702131037 | 75.403886162441 | 73.348636164971 | 71.30614500444 | 70.64865547829 | 71.006885391584 | 71.999017051989 | 72.610993853886 | 72.840824598892 |
| JOR | JO | Jordânia | 75.149368246827 | 78.249128144745 | 78.284824754654 | 78.412126230667 | 82.260108388708 | 89.888139193913 | 91.821672299232 | 92.404837906616 | 92.682236868336 |
| XKX | XK | Kosovo | 36.890528127883 | 37.309689858118 | 37.483195514027 | 37.627884150598 | 37.929940798209 | 39.917681154075 | 45.226862526339 | 47.800199653846 | 49.110557910151 |
| KWT | KW | Koweit | 97.973783605434 | 98.049620561736 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |
| LAO | LA | Laos | 15.24359477253 | 17.279046921216 | 22.184096435009 | 27.32249772927 | 30.646860089017 | 33.12402044322 | 36.618503356911 | 38.06823828054 | 38.807008851716 |
| LSO | LS | Lesoto | 12.882508296282 | 16.46901504322 | 19.327398855838 | 22.531798156279 | 27.4004815008 | 34.090387583186 | 39.632930542553 | 41.670396516532 | 42.678159680479 |
| LVA | LV | Letónia | 70.699852207804 | 69.19244406103 | 68.052056144196 | 67.895391057035 | 67.827068175245 | 67.896539566826 | 68.121122287223 | 68.257021810903 | 68.358631634306 |
| LBN | LB | Líbano | 83.347777921598 | 85.133134763602 | 86 | 86.76651566727 | 87.639219281068 | 88.624688203861 | 89.729499798117 | 90.206313713022 | 90.45240741976 |
| LBR | LR | Libéria | 43.335117340088 | 44.527744628906 | 43.771004295582 | 45.851009303528 | 48.140751705791 | 50.743438296136 | 53.387868557238 | 54.4591057083 | 54.997863482224 |
| LBY | LY | Líbia | 80.576344814243 | 84.290025843257 | 86.950851372684 | 88.135773324416 | 88.117713928223 | 87.815910339355 | 87.827826709626 | 87.848608859379 | 87.864719791985 |
| LIE | LI | Listenstaine | 16.921449597398 | 16.440000534058 | 14.989999771118 | 14.594120964481 | 14.415435410561 | 14.453558776178 | 14.666662285376 | 14.692307007154 | 14.678376123408 |
| LTU | LT | Lituânia | 67.650422550373 | 67.346974018913 | 66.976837482655 | 66.578491210938 | 66.771286010742 | 67.228248596191 | 67.42546081543 | 68.286645242681 | 68.575454583199 |
| LUX | LU | Luxemburgo | 80.924054052905 | 82.188865331327 | 84.418215517784 | 86.373564910256 | 88.48791681658 | 90.989367935307 | 93.860068997098 | 94.760540094018 | 94.801530032079 |
| MAC | MO | Macau (Região Administrativa Especial da China) | 99.611357287924 | 99.910003662109 | 99.995792670419 | 100 | 100 | 100 | 100 | 100 | 100 |
| MKD | MK | Macedónia do Norte | 57.473552098215 | 59.727785369684 | 58.491838239259 | 57.861420646477 | 58.120681554129 | 59.070038378466 | 61.159330274644 | 61.953056660727 | 62.251832254578 |
| MDG | MG | Madagáscar | 21.899204258926 | 23.480056604418 | 25.009575560826 | 26.474301949582 | 27.86516849491 | 29.173107921035 | 30.701947416755 | 31.539781346589 | 31.979943886095 |
| MYT | YT | Maiote (Departamento e região ultramarina da França) | |||||||||
| MYS | MY | Malásia | 49.033067222099 | 55.923291732763 | 61.969456449073 | 67.015982017357 | 70.862531483103 | 73.438786995701 | 75.051189557567 | 75.9741357073 | 76.443475210574 |
| MWI | MW | Maláui | 11.624925063304 | 13.635439209149 | 14.677060328766 | 15.104179365624 | 15.477696938052 | 15.833850494692 | 16.296147175641 | 16.714603197944 | 16.974874666536 |
| MDV | MV | Maldivas | 25.852100047572 | 25.547643183769 | 27.603858649376 | 34.071517828382 | 36.764613776255 | 38.577151071529 | 40.398514790284 | 41.064176969066 | 41.509683293397 |
| MLI | ML | Mali | 16.631278249648 | 17.6234008749 | 18.977631037325 | 20.87067154222 | 23.135946182489 | 25.847015486705 | 29.020597299469 | 30.40157056819 | 31.003188902324 |
| MLT | MT | Malta | 91.031931687937 | 92.697346619234 | 93.278338811526 | 93.698518993616 | 94.241243562015 | 94.438769626801 | 95.184108228026 | 95.600315513288 | 95.627227714797 |
| MAR | MA | Marrocos | 48.433864593506 | 51.758909897474 | 53.58724711125 | 55.43977986764 | 58.328751648665 | 60.641712473715 | 62.093343600537 | 62.51184685507 | 62.673750838878 |
| MTQ | MQ | Martinica (Departamento e região ultramarina da França) | |||||||||
| MUS | MU | Maurícia | 43.900001522048 | 43.204280022927 | 42.063123063288 | 41.141987415292 | 40.304613182772 | 39.670961061773 | 39.160703907432 | 39.000012588578 | 39.003990109223 |
| MRT | MR | Mauritânia | 39.470497668356 | 38.651589867006 | 38.055585854217 | 40.407151934074 | 45.954192310994 | 51.668035004962 | 56.983670105889 | 58.812099619723 | 59.714246474706 |
| MEX | MX | México | 71.459007719992 | 73.296231388312 | 74.920311397026 | 76.474862438027 | 76.524444141471 | 77.190385418275 | 78.677960602824 | 79.199683215791 | 79.473493574805 |
| MMR | MM | Mianmar | 25.803687549312 | 26.647423780239 | 27.534607270815 | 28.390792243762 | 29.141532921802 | 29.716682119168 | 30.159304996884 | 30.311095757938 | 30.382071806947 |
| FSM | FM | Micronésia | 26.014699226097 | 25.288827453816 | 22.329999923706 | 22.329999923706 | 22.290352987514 | 22.312233609941 | 22.37520600366 | 22.412270181905 | 22.43340124519 |
| MOZ | MZ | Moçambique | 23.18801303987 | 27.627091306026 | 29.242369731144 | 30.009861321725 | 30.986177982292 | 32.137283625992 | 33.904400641628 | 35.053663804795 | 35.714978314841 |
| MDA | MD | Moldávia | 46.978603363037 | 45.719192504883 | 40.418598175049 | 39.370403289795 | 39.280494689941 | 39.695404052734 | 41.336853027344 | 42.404884338379 | 43.001182556152 |
| MCO | MC | Mónaco | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| MNG | MN | Mongólia | 57.021751603462 | 56.791813835716 | 56.73054470745 | 62.312262702379 | 67.829801831325 | 67.999999990609 | 68.089477177077 | 69.783805847168 | 70.446449279785 |
| MSR | MS | Monserrate (Território ultramarino britânico) | |||||||||
| MNE | ME | Montenegro | 48.541693005835 | 52.834377306971 | 59.089926014571 | 62.676368064425 | 64.306962575129 | 64.818165293717 | 65.249068841803 | 65.401296544087 | 65.473166762485 |
| NAM | NA | Namíbia | 26.867165435393 | 28.671118613172 | 32.116895639988 | 36.587001455306 | 41.794617656199 | 45.510355444533 | 48.547381745659 | 49.529103767181 | 49.954583783082 |
| NRU | NR | Nauru | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| NPL | NP | Nepal | 19.761935865377 | 24.100075870543 | 31.099424180385 | 45.506563342432 | 62.015658157834 | 64.951009424915 | 66.10508860885 | 66.299296872105 | 66.543293345394 |
| NIC | NI | Nicarágua | 53.493150038536 | 54.44544158829 | 55.216070785852 | 55.937548042109 | 56.842311091973 | 57.814988186471 | 58.704592268913 | 58.99543762207 | 59.125095367432 |
| NER | NE | Níger | 15.448037147522 | 15.799133300781 | 16.130767822266 | 16.26872253418 | 16.241630127912 | 16.303560658749 | 17.008142000379 | 17.477207007512 | 17.750687329524 |
| NGA | NG | Nigéria | 35.186618165042 | 39.136410358365 | 43.278505125024 | 47.565641475686 | 51.677818825545 | 55.732568205714 | 59.765965484878 | 61.372765062222 | 62.174676315534 |
| NIU | NU | Niuê (Autoadministração em livre associação com a Nova Zelândia) | |||||||||
| NOR | NO | Noruega | 71.876858874113 | 73.919742234113 | 76.133892244953 | 77.826014888203 | 79.245002746582 | 81.237824097135 | 82.702988570053 | 82.956366181603 | 83.071856070217 |
| NCL | NC | Nova Caledónia (Território sui generis da França) | 59.602393110088 | 60.255212474193 | 61.610328708548 | 63.918391040144 | 66.703836218007 | 66.82780455478 | 67.274726106593 | 67.572030502128 | 67.751522311337 |
| NZL | NZ | Nova Zelândia | 84.784078318867 | 85.392759490696 | 85.705966045606 | 85.929932578095 | 85.861404325823 | 85.151876376053 | 83.813897709591 | 83.854730501781 | 83.889899146123 |
| OMN | OM | Omã | 70.364279517507 | 71.658288519107 | 71.54008352292 | 71.857780343871 | 75.157972466627 | 77.302536303796 | 80.017637892272 | 80.01170531523 | 79.570297322893 |
| NLD | NL | Países Baixos | 68.987386612386 | 70.693627414898 | 78.482682842708 | 83.504894972516 | 87.350279024713 | 90.278773721462 | 94.253227776594 | 94.985617773414 | 95.322168209213 |
| PLW | PW | Palau | 69.531476008915 | 71.393345511135 | 69.587620180179 | 77.574268209537 | 80.66266673123 | 80.388246269234 | 79.079688400626 | 79.113483171296 | 79.153199143885 |
| PSE | PS | Palestine | 65.336750244902 | 67.53593471594 | 72.069432857266 | 80.517224064523 | 83.885349113968 | 85.218217453789 | 86.074118374392 | 86.596142321602 | 86.857687041589 |
| PAN | PA | Panamá | 53.871276323531 | 58.2484116694 | 62.216537001358 | 64.072193442853 | 65.092609764791 | 65.528723294798 | 65.786299959199 | 65.821134391496 | 65.860127117608 |
| PNG | PG | Papua-Nova Guiné | 15.37567881606 | 14.354187515728 | 13.222877227696 | 13.070897172661 | 13.002192006941 | 13.234135983632 | 14.170367718573 | 14.735865826084 | 15.058101789121 |
| PAK | PK | Paquistão | 30.753044893749 | 31.914461391744 | 33.004688449153 | 33.91900627895 | 34.815918747554 | 35.901732571534 | 37.50801929481 | 38.374043976082 | 38.819186187279 |
| PRY | PY | Paraguai | 50.091863410471 | 54.132065106641 | 57.514116940823 | 58.894079141979 | 59.512279261879 | 61.330276853326 | 66.116520986009 | 68.639653781946 | 69.346608173369 |
| PER | PE | Peru | 68.930800504129 | 70.88985339106 | 72.77248312077 | 74.816235483083 | 77.402093683393 | 80.698277662669 | 83.526743718964 | 84.366355495119 | 84.781025584975 |
| PYF | PF | Polinésia Francesa (Coletividade ultramarina da França) | 57.914812210887 | 56.542362839392 | 55.954253994428 | 56.84728508207 | 60.761022395099 | 61.737474215491 | 61.7673100921 | 61.691380693711 | 61.696713502857 |
| POL | PL | Polónia | 61.300915106325 | 61.597371480499 | 61.74591606139 | 61.549701077486 | 60.847478398768 | 60.336288680563 | 59.873814113809 | 59.831548804832 | 59.885956137021 |
| PRI | PR | Porto Rico (Território autónomo dependente dos Estados Unidos da América) | 83.928856723701 | 91.464320458156 | 94.403518203211 | 94.058055748557 | 93.758877221439 | 93.79871614283 | 94.011614499559 | 94.111092305494 | 94.177435927588 |
| PRT | PT | Portugal | 47.738426369787 | 51.008291015927 | 54.405163538914 | 58.245076338958 | 61.078886724173 | 61.137469211538 | 61.104256676869 | 61.125925577278 | 61.204865263366 |
| KEN | KE | Quénia | 18.196295695422 | 18.582760492238 | 19.455383221183 | 27.268674562505 | 31.871328770646 | 31.733802603996 | 31.206349463262 | 31.430782006695 | 31.633034081643 |
| KGZ | KG | Quirguistão | 37.971007727003 | 36.181214286933 | 35.321606784757 | 35.303096812408 | 35.267768240398 | 35.100893768129 | 34.817431539211 | 34.700305349774 | 34.706439175362 |
| KIR | KI | Quiribáti | 34.986219529631 | 36.333348184652 | 43.327480884801 | 43.544327444453 | 48.460383956472 | 50.954197040206 | 58.412371411275 | 60.573912655942 | 61.524467619441 |
| GBR | GB | Reino Unido | 78.109178388521 | 78.659100271298 | 79.824140831517 | 80.445593812763 | 80.995165116277 | 81.824377229565 | 82.900001525879 | 83.075398299751 | 83.160193289134 |
| CAF | CF | República Centro Africana | 37.200800894214 | 37.476016460175 | 37.701487976536 | 38.044851042687 | 38.62449631042 | 39.982442126735 | 42.305078593346 | 43.275196745729 | 43.698369213416 |
| COD | CD | República Democrática do Congo | 30.274474877051 | 32.456171039532 | 34.900875261749 | 37.40187386219 | 39.391363708294 | 41.343576444469 | 43.252860250012 | 44.003287663813 | 44.375473489219 |
| DOM | DO | República Dominicana | 54.961877070191 | 57.131709945439 | 61.312854921592 | 67.575918046932 | 74.164277317418 | 74.137230595828 | 73.264379377366 | 72.420315564371 | 72.357799182334 |
| REU | RE | Reunião (Departamento e região ultramarina da França) | |||||||||
| ROU | RO | Roménia | 54.213790243794 | 53.89854383926 | 52.861954900453 | 53.074507031037 | 53.903822794133 | 53.707183951889 | 52.611947245178 | 52.163483247727 | 52.164574701187 |
| RWA | RW | Ruanda | 5.2749405018092 | 8.815565931085 | 15.7804474646 | 16.907211445945 | 16.925558031061 | 18.195314985842 | 24.502976113297 | 27.780670273776 | 28.855531064548 |
| RUS | RU | Rússia | 73.711608886719 | 72.935279846191 | 73.15682220459 | 73.161392211914 | 73.669630788762 | 74.275919065527 | 74.693221679167 | 74.854489362502 | 74.980504787328 |
| SLV | SV | Salvador | 48.983255608013 | 52.396134950603 | 56.563856981046 | 61.030821323929 | 65.432792754316 | 69.698211669922 | 73.057022094727 | 74.146502129868 | 74.60806751499 |
| WSM | WS | Samoa | 20.962008829121 | 21.559135126387 | 21.952969802072 | 21.235290419169 | 19.830210186209 | 19.234010538355 | 18.051660899472 | 17.500794995104 | 17.50127998046 |
| ASM | AS | Samoa Americana (Território dos Estados Unidos da América) | 75.75476136421 | 83.995779892956 | 88.607580930722 | 87.77983577495 | 86.319067354967 | 84.668670649093 | 82.624078062072 | 81.794797704649 | 81.372154270822 |
| SHN | SH | Santa Helena (Território ultramarino britânico) | |||||||||
| LCA | LC | Santa Lúcia | 29.538963213922 | 29.163611710082 | 27.853228239184 | 23.541915899688 | 18.512507097131 | 20.020428817607 | 25.7524386561 | 29.097678526676 | 29.097631324804 |
| BLM | BL | São Bartolomeu (Coletividade ultramarina da França) | |||||||||
| KNA | KN | São Cristóvão e Neves | 34.636913837146 | 33.746378311024 | 32.764294564989 | 31.980497578112 | 31.305612569317 | 31.251392969558 | 31.471628973895 | 31.615640498317 | 31.700780962282 |
| SMR | SM | São Marinho | 90.508131310314 | 92.068099187691 | 93.77097625568 | 94.645489682464 | 97.074615769187 | 97.099998474121 | 97.099998474121 | 97.114188938046 | 97.131731036166 |
| MAF | MF | São Martinho (Coletividade ultramarina da França) | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| SXM | SX | São Martinho (Território autónomo do Reino dos Países Baixos) | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| SPM | PM | São Pedro e Miquelão (Coletividade ultramarina da França) | |||||||||
| STP | ST | São Tomé e Príncipe | 43.733569640359 | 48.500327052952 | 52.966343705211 | 59.418801690892 | 66.057220072829 | 67.391571044922 | 68.043670654297 | 68.372091979834 | 68.604392110357 |
| VCT | VC | São Vicente e Granadinas | 43.857023029613 | 44.266436729758 | 44.890311492614 | 45.468122165485 | 46.062639596121 | 46.684563872748 | 47.325517185843 | 47.585897833353 | 47.716992234004 |
| ESH | EH | Sara Ocidental (Território disputado entre Marrocos e a Frente Polisário) | |||||||||
| SYC | SC | Seicheles | 48.908886973144 | 46.8516399097 | 43.397423071004 | 42.851034907511 | 42.660307244583 | 43.094803568632 | 44.293614715226 | 44.910820998116 | 45.097108132166 |
| SEN | SN | Senegal | 38.946655746589 | 39.808479397638 | 40.666755553197 | 41.905759969584 | 43.637178505969 | 46.274766962986 | 51.056295009328 | 53.443506102435 | 54.699227619079 |
| LKA | LK | Seri Lanca | 18.090908103294 | 15.865206853976 | 14.61968950009 | 15.167273918248 | 17.248620938069 | 18.796256612131 | 19.662189831216 | 19.987793319637 | 20.145534844246 |
| SLE | SL | Serra Leoa | 33.457329502583 | 34.501582554627 | 35.532786724197 | 36.848551967244 | 38.641732893861 | 40.76695651871 | 43.212965912355 | 44.266634354349 | 44.809324991151 |
| SRB | RS | Sérvia | 50.366488634301 | 52.911321625458 | 55.592311570163 | 57.750890988818 | 59.350555068934 | 60.138809204102 | 61.223201751709 | 61.90138135404 | 62.143464922974 |
| SGP | SG | Singapura | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| SYR | SY | Síria | 48.843381096897 | 50.045443319913 | 51.876811612138 | 53.822720237469 | 55.696200288912 | 75.752906718854 | 73.412503110251 | 72.612499237061 | 72.16738031432 |
| SOM | SO | Somália | 29.404640265908 | 31.065514800269 | 33.059613692723 | 35.467492813621 | 38.573508061859 | 43.861810740848 | 52.286318011754 | 53.501011588679 | 54.071443550688 |
| SDN | SD | Sudão | 29.950238812976 | 32.110062501372 | 32.343588046282 | 32.460315040415 | 32.717402659151 | 34.09143946286 | 34.559443378925 | 34.720985205309 | 34.796007697676 |
| SSD | SS | Sudão do Sul | 12.631807862307 | 14.741959594823 | 16.042854011732 | 16.869576031886 | 17.535620199576 | 18.809261960177 | 20.191456547629 | 20.775212104662 | 21.073775527969 |
| SWE | SE | Suécia | 83.404173041129 | 83.900001525879 | 84.040000915527 | 84.349998474121 | 85.133422851562 | 86.615865408186 | 87.94240468957 | 88.403857650481 | 88.631216160938 |
| CHE | CH | Suíça | 68.662385562998 | 71.529470605847 | 73.302430524727 | 73.495100091543 | 73.608671641932 | 75.604496014317 | 82.341683851546 | 84.920626628452 | 85.185421267981 |
| SUR | SR | Suriname | 66.376786346725 | 66.56328128106 | 66.701522214181 | 66.732182649088 | 66.433844369197 | 66.182881507472 | 66.00830078125 | 65.898544311523 | 65.756240844727 |
| THA | TH | Tailândia | 18.807148084731 | 24.108985518285 | 31.46262126522 | 38.130159439288 | 44.00187366225 | 46.952104377617 | 57.235877990723 | 59.742374420166 | 60.934192657471 |
| TWN | TW | Taiwan | |||||||||
| TJK | TJ | Tajiquistão | 31.883514108827 | 28.424388933325 | 26.535510466923 | 26.532487826205 | 26.527431296398 | 26.478832244873 | 26.192544232872 | 26.195712661562 | 26.189012757143 |
| TZA | TZ | Tanzânia | 18.929131203135 | 20.512388572818 | 22.194416404063 | 24.706188453874 | 28.19689539391 | 31.206156659247 | 33.854724603627 | 34.823473637715 | 35.474801943495 |
| TLS | TL | Timor-Leste | 21 | 22.563871790273 | 24.113942716437 | 26.309730894875 | 29.639884002042 | 29.504331500842 | 28.961904989765 | 28.585729228897 | 28.595471832952 |
| TGO | TG | Togo | 28.674152592213 | 30.857705381088 | 33.099484406331 | 35.348765030529 | 37.554588297564 | 39.716255127293 | 41.878152726807 | 42.733232797563 | 43.249685303244 |
| TON | TO | Tonga | 22.205477012687 | 22.820349953065 | 23.025151381999 | 23.147395650029 | 23.424361909918 | 23.243442281844 | 21.876620682341 | 21.147219451842 | 21.147944541337 |
| TKL | TK | Toquelau (Território da Nova Zelândia) | |||||||||
| TTO | TT | Trindade e Tobago | 55.00166788071 | 55.699439026537 | 55.92914682856 | 55.389895551985 | 54.089956596359 | 53.926665238022 | 53.937768958481 | 53.9474037905 | 53.953684210457 |
| TUN | TN | Tunísia | 58.056715991168 | 61.623411363114 | 63.616665382258 | 65.2340901739 | 66.628005981445 | 67.880790710449 | 69.104316643848 | 69.707138648303 | 70.026668648658 |
| TKM | TM | Turquemenistão | 45.001496058394 | 44.710414533077 | 46.073668910699 | 46.772868392258 | 46.917173224712 | 47.01001890077 | 47.054696190726 | 47.059210341493 | 47.067887505417 |
| TUR | TR | Turquia | 51.031396034792 | 55.065239980354 | 58.97061200064 | 63.330247027387 | 69.347125394149 | 87.216710797254 | 88.930311496522 | 89.038116455078 | 89.021844679612 |
| TUV | TV | Tuvalu | 39.664837730381 | 43.061314850769 | 45.511949437712 | 49.420979093013 | 55.054132655996 | 58.914850265234 | 61.921261053494 | 63.306576808115 | 64.011720668979 |
| UKR | UA | Ucrânia | 67.411192398286 | 67.84096580814 | 67.403857296906 | 67.813604631776 | 68.637397133357 | 69.158731720134 | 69.383910051675 | 69.42345912103 | 69.475445502761 |
| UGA | UG | Uganda | 9.7623604311089 | 10.727371912503 | 11.641475812519 | 13.790723949672 | 18.799064554457 | 24.977785656043 | 28.53997522715 | 29.925196970966 | 30.60593593955 |
| URY | UY | Uruguai | 89.093012925025 | 90.603429216364 | 91.276976817357 | 92.081271004857 | 94.333321947532 | 95.08000022983 | 95.399765014648 | 95.497741699219 | 95.543960571289 |
| UZB | UZ | Usbequistão | 40.771593702342 | 43.478246474203 | 47.6731005044 | 51.078123633378 | 51.332164764404 | 50.659732818604 | 50.767040252685 | 50.984741210938 | 50.996484111457 |
| VUT | VU | Vanuatu | 18.766606203564 | 20.240796393687 | 21.657249059948 | 23.002018665355 | 24.742504119873 | 24.862694576424 | 22.418685209479 | 22.254124973311 | 22.26519668239 |
| VEN | VE | Venezuela | 83.974102243034 | 86.352867491272 | 88.219476430842 | 88.638673298371 | 88.802637292398 | 88.953980407929 | 89.139905656754 | 89.213220473284 | 89.249627620225 |
| VNM | VN | Vietname | 19.173503965163 | 21.453846460018 | 24.367252691977 | 27.42858981877 | 30.250402725853 | 32.381094536568 | 35.570667629974 | 37.5478515625 | 38.129890441895 |
| WLF | WF | Wallis e Futuna (Coletividade ultramarina da França) | |||||||||
| ZMB | ZM | Zâmbia | 39.363992484604 | 38.403114318848 | 35.873546096039 | 37.296982381306 | 39.955885770999 | 41.955510467965 | 43.864448941016 | 44.598851117847 | 45.028585352159 |
| ZWE | ZW | Zimbabué | 29.592041213748 | 31.429986132892 | 32.399156885331 | 32.64827097229 | 32.728452581005 | 33.561264176687 | 37.00976715608 | 38.705520716904 | 39.291937079579 |
| WLD | World | 42.831366480837 | 44.312095806733 | 46.839060770781 | 49.357795256952 | 51.758987119702 | 54.424681574503 | 56.442553264507 | 57.070330285139 | 57.309950701811 | |
| 35 | |||||||||||
| World Bank atualizado a 18/12/2025 às 17:13 UTC | Linha 1: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 2: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 3: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 4: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 5: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 6: célula(s) alteradas [4] [5] [6] [7] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 8: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 9: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 10: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 11: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 12: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 13: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 14: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 15: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 16: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 17: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 18: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 19: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 20: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 21: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 22: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 23: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 25: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 26: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 28: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 29: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 30: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 31: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 32: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 33: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 34: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 35: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 36: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 37: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 38: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 39: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 40: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 41: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 42: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 43: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 44: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 45: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 46: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 47: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 48: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 49: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 50: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 51: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 52: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 53: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 54: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 55: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 56: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 57: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 58: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 59: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 60: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 61: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 62: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 63: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 64: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 65: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 66: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 67: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 68: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 69: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 70: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 71: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 72: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 73: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 74: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 75: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 76: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 77: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 79: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 80: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 81: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 83: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 84: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 86: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 88: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 89: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 90: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 91: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 92: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 93: célula(s) alteradas [4] [5] [6] [7] [8] [9] Linha 94: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 95: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 96: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 100: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 101: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 102: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 103: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 104: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 105: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 106: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 107: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 108: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 109: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 110: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 111: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 112: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 113: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 114: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 115: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 116: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 118: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 119: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 120: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 121: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [15] [16] [17] [18] Linha 122: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 123: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 124: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 125: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 126: célula(s) alteradas [4] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 127: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 128: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 129: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 130: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 131: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] Linha 132: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 133: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 135: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 136: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 137: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 138: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 139: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 140: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 142: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 143: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 144: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 145: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 146: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 147: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 148: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 150: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 152: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 153: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 155: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 156: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 157: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 158: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 160: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 161: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 162: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 163: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 164: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 165: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 166: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 167: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 168: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 169: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 170: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 171: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 172: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 173: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 174: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 175: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 176: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 177: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 178: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 179: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 180: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 181: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 182: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 184: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 185: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 186: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 187: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 188: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 189: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 191: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 193: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 194: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 195: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 198: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 199: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 201: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 202: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 203: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 204: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 205: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 207: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 208: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 209: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 210: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 211: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 212: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 213: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 214: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 216: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 217: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 218: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 219: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 220: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 222: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 223: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 224: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 225: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 226: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 227: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 228: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 229: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 230: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 231: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 232: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 233: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 235: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 236: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 238: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 239: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 240: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 241: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 242: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 243: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 244: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 245: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 246: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 247: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 248: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 249: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 250: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 251: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 252: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] Linha 253: célula(s) alteradas [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] | 2025-12-16 | 2025-12-16 | 2025-12-16 | 2025-12-16 | 2025-12-16 | 2025-12-16 | 2025-12-16 | 2025-12-16 | 2025-12-16 | |
| https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=1990&per_page=300 | https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=1995&per_page=300 | https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=2000&per_page=300 | https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=2005&per_page=300 | https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=2010&per_page=300 | https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=2015&per_page=300 | https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=2020&per_page=300 | https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=2022&per_page=300 | https://api.worldbank.org/v2/country/all/indicator/SP.URB.TOTL.IN.ZS?format=json&date=2023&per_page=300 |