city stringlengths 1 32 | country stringclasses 185 values | population int64 7 31.5M | latitude float64 -54.8 73.5 | longitude float64 -179.5 179 | city coordinates stringlengths 22 27 |
|---|---|---|---|---|---|
Guarapari | Brazil | 100,927 | -20.666667 | -40.5 | [-20.6666670, -40.5000000] |
Guia Lopes da Laguna | Brazil | 9,681 | -21.433333 | -56.116667 | [-21.4333330, -56.1166670] |
Guiratinga | Brazil | 10,938 | -16.35 | -53.75 | [-16.3500000, -53.7500000] |
Gurupá | Brazil | 6,461 | -1.416667 | -51.65 | [-1.4166670, -51.6500000] |
Gurupi | Brazil | 64,790 | -11.7225 | -49.012222 | [-11.7225000, -49.0122220] |
Humaitá | Brazil | 31,207 | -7.516389 | -63.022222 | [-7.5163890, -63.0222220] |
Ibatiba | Brazil | 12,265 | -20.233333 | -41.516667 | [-20.2333330, -41.5166670] |
Ibiraçu | Brazil | 8,921 | -19.833333 | -40.366667 | [-19.8333330, -40.3666670] |
Iconha | Brazil | 5,051 | -20.8 | -40.8 | [-20.8000000, -40.8000000] |
Igarapé-Açu | Brazil | 24,136 | -1.116667 | -47.616667 | [-1.1166670, -47.6166670] |
Igarapé-Miri | Brazil | 26,838 | -1.983333 | -48.966667 | [-1.9833330, -48.9666670] |
Iguatemi | Brazil | 9,619 | -23.666667 | -54.566667 | [-23.6666670, -54.5666670] |
Indiaroba | Brazil | 4,989 | -11.533333 | -37.516667 | [-11.5333330, -37.5166670] |
Inhuma | Brazil | 7,056 | -6.666667 | -41.7 | [-6.6666670, -41.7000000] |
Ipanguaçu | Brazil | 4,624 | -5.497778 | -36.853333 | [-5.4977780, -36.8533330] |
Ipixuna | Brazil | 5,814 | -7.051667 | -71.693056 | [-7.0516670, -71.6930560] |
Iranduba | Brazil | 11,181 | -3.25 | -60.1 | [-3.2500000, -60.1000000] |
Irituia | Brazil | 5,602 | -1.766667 | -47.433333 | [-1.7666670, -47.4333330] |
Irupi | Brazil | 3,505 | -20.35 | -41.633333 | [-20.3500000, -41.6333330] |
Itabaiana | Brazil | 63,889 | -10.683333 | -37.433333 | [-10.6833330, -37.4333330] |
Itabaianinha | Brazil | 17,149 | -11.266667 | -37.783333 | [-11.2666670, -37.7833330] |
Itacoatiara | Brazil | 45,995 | -3.05 | -58.433333 | [-3.0500000, -58.4333330] |
Itaguaçu | Brazil | 8,202 | -19.8 | -40.85 | [-19.8000000, -40.8500000] |
Itainópolis | Brazil | 2,922 | -7.4 | -41.516667 | [-7.4000000, -41.5166670] |
Itaituba | Brazil | 64,758 | -4.216667 | -56.016667 | [-4.2166670, -56.0166670] |
Itapemirim | Brazil | 17,536 | -21.016667 | -40.833333 | [-21.0166670, -40.8333330] |
Itaporã | Brazil | 12,327 | -22.016667 | -54.9 | [-22.0166670, -54.9000000] |
Itarana | Brazil | 4,060 | -19.85 | -40.866667 | [-19.8500000, -40.8666670] |
Itaueira | Brazil | 5,146 | -7.6 | -43.033333 | [-7.6000000, -43.0333330] |
Itupiranga | Brazil | 21,301 | -5.15 | -49.333333 | [-5.1500000, -49.3333330] |
Iúna | Brazil | 14,290 | -20.35 | -41.533333 | [-20.3500000, -41.5333330] |
Jacareacanga | Brazil | 1,402 | -6.266667 | -57.65 | [-6.2666670, -57.6500000] |
Jaciara | Brazil | 22,739 | -15.983333 | -54.95 | [-15.9833330, -54.9500000] |
Jaicós | Brazil | 7,107 | -7.35 | -41.133333 | [-7.3500000, -41.1333330] |
Japaratuba | Brazil | 8,092 | -10.583333 | -36.95 | [-10.5833330, -36.9500000] |
Japoatã | Brazil | 4,207 | -10.333333 | -36.8 | [-10.3333330, -36.8000000] |
Japurá | Brazil | 1,908 | -1.395833 | -69.422222 | [-1.3958330, -69.4222220] |
Jardim de Piranhas | Brazil | 10,935 | -6.366667 | -37.333333 | [-6.3666670, -37.3333330] |
Jardim do Seridó | Brazil | 9,520 | -6.583333 | -36.766667 | [-6.5833330, -36.7666670] |
Jardim | Brazil | 23,781 | -21.466667 | -56.15 | [-21.4666670, -56.1500000] |
Jaru | Brazil | 28,018 | -10.433333 | -62.45 | [-10.4333330, -62.4500000] |
Jerônimo Monteiro | Brazil | 6,902 | -20.783333 | -41.4 | [-20.7833330, -41.4000000] |
Ji-Paraná | Brazil | 100,128 | -10.833333 | -61.966667 | [-10.8333330, -61.9666670] |
João Câmara | Brazil | 19,886 | -5.533333 | -35.8 | [-5.5333330, -35.8000000] |
João Neiva | Brazil | 10,383 | -19.75 | -40.4 | [-19.7500000, -40.4000000] |
José de Freitas | Brazil | 21,433 | -4.75 | -42.583333 | [-4.7500000, -42.5833330] |
Jucurutu | Brazil | 11,535 | -6.033333 | -37.016667 | [-6.0333330, -37.0166670] |
Juruti | Brazil | 13,333 | -2.166667 | -56.066667 | [-2.1666670, -56.0666670] |
Jutaí | Brazil | 5,863 | -5.183333 | -68.9 | [-5.1833330, -68.9000000] |
Lábrea | Brazil | 19,624 | -7.266667 | -64.783333 | [-7.2666670, -64.7833330] |
Ladário | Brazil | 15,790 | -19.016667 | -57.583333 | [-19.0166670, -57.5833330] |
Lagarto | Brazil | 45,446 | -10.9 | -37.683333 | [-10.9000000, -37.6833330] |
Lagoa Nova | Brazil | 5,984 | -6.1 | -36.483333 | [-6.1000000, -36.4833330] |
Laranja da Terra | Brazil | 3,016 | -19.9 | -41.066667 | [-19.9000000, -41.0666670] |
Laranjeiras | Brazil | 23,251 | -10.8 | -37.166667 | [-10.8000000, -37.1666670] |
Limoeiro do Ajuru | Brazil | 4,109 | -1.916667 | -49.383333 | [-1.9166670, -49.3833330] |
Linhares | Brazil | 105,084 | -19.416667 | -40.066667 | [-19.4166670, -40.0666670] |
Luís Correia | Brazil | 11,480 | -2.883611 | -41.666111 | [-2.8836110, -41.6661110] |
Luzilândia | Brazil | 12,999 | -3.466667 | -42.366667 | [-3.4666670, -42.3666670] |
Macaíba | Brazil | 40,016 | -5.716667 | -35.55 | [-5.7166670, -35.5500000] |
Macapá | Brazil | 338,937 | 0.033333 | -51.05 | [0.0333330, -51.0500000] |
Macau | Brazil | 18,070 | -5.116667 | -36.633333 | [-5.1166670, -36.6333330] |
Malhador | Brazil | 5,574 | -10.65 | -37.3 | [-10.6500000, -37.3000000] |
Manacapuru | Brazil | 52,460 | -3.3 | -60.616667 | [-3.3000000, -60.6166670] |
Manaquiri | Brazil | 9,986 | -3.316667 | -60.35 | [-3.3166670, -60.3500000] |
Manaus | Brazil | 1,598,227 | -3.113333 | -60.025278 | [-3.1133330, -60.0252780] |
Mâncio Lima | Brazil | 7,086 | -7.616667 | -72.9 | [-7.6166670, -72.9000000] |
Manicoré | Brazil | 14,058 | -5.812222 | -61.2975 | [-5.8122220, -61.2975000] |
Manoel Urbano | Brazil | 4,066 | -8.883333 | -69.3 | [-8.8833330, -69.3000000] |
Mantenópolis | Brazil | 8,547 | -18.883333 | -41.1 | [-18.8833330, -41.1000000] |
Maraã | Brazil | 4,387 | -1.833333 | -65.366667 | [-1.8333330, -65.3666670] |
Marabá | Brazil | 145,865 | -5.35 | -49.116667 | [-5.3500000, -49.1166670] |
Maracaju | Brazil | 22,690 | -21.633333 | -55.15 | [-21.6333330, -55.1500000] |
Maracanã | Brazil | 12,683 | -0.766667 | -47.45 | [-0.7666670, -47.4500000] |
Marapanim | Brazil | 10,236 | -0.7 | -47.7 | [-0.7000000, -47.7000000] |
Marataízes | Brazil | 25,397 | -21.033333 | -40.833333 | [-21.0333330, -40.8333330] |
Marechal Floriano | Brazil | 5,869 | -20.416667 | -40.666667 | [-20.4166670, -40.6666670] |
Marilândia | Brazil | 3,900 | -19.416667 | -40.516667 | [-19.4166670, -40.5166670] |
Maruim | Brazil | 12,153 | -10.75 | -37.083333 | [-10.7500000, -37.0833330] |
Matias Olímpio | Brazil | 4,012 | -3.716667 | -42.55 | [-3.7166670, -42.5500000] |
Maués | Brazil | 22,476 | -3.4 | -57.7 | [-3.4000000, -57.7000000] |
Mazagão | Brazil | 6,500 | -0.116667 | -51.283333 | [-0.1166670, -51.2833330] |
Miguel Alves | Brazil | 10,439 | -4.166667 | -42.9 | [-4.1666670, -42.9000000] |
Mimoso do Sul | Brazil | 14,045 | -21.066667 | -41.366667 | [-21.0666670, -41.3666670] |
Miracema do Tocantins | Brazil | 29,181 | -9.529167 | -48.319722 | [-9.5291670, -48.3197220] |
Miranda | Brazil | 13,189 | -20.233333 | -56.366667 | [-20.2333330, -56.3666670] |
Miranorte | Brazil | 12,446 | -9.476667 | -48.480278 | [-9.4766670, -48.4802780] |
Mocajuba | Brazil | 16,567 | -2.583333 | -49.5 | [-2.5833330, -49.5000000] |
Moita Bonita | Brazil | 3,602 | -10.583333 | -37.366667 | [-10.5833330, -37.3666670] |
Moju | Brazil | 21,511 | -1.883333 | -48.766667 | [-1.8833330, -48.7666670] |
Mombaça | Brazil | 17,065 | -5.75 | -39.633333 | [-5.7500000, -39.6333330] |
Monsenhor Gil | Brazil | 4,751 | -5.583333 | -42.616667 | [-5.5833330, -42.6166670] |
Montanha | Brazil | 11,934 | -18.133333 | -40.35 | [-18.1333330, -40.3500000] |
Montanhas | Brazil | 8,442 | -6.483333 | -35.3 | [-6.4833330, -35.3000000] |
Monte Alegre de Sergipe | Brazil | 6,816 | -10.033333 | -37.55 | [-10.0333330, -37.5500000] |
Monte Alegre | Brazil | 22,841 | -2.016667 | -54.066667 | [-2.0166670, -54.0666670] |
Monte Alegre | Brazil | 6,643 | -5.889722 | -36.301389 | [-5.8897220, -36.3013890] |
Mossoró | Brazil | 202,010 | -5.191389 | -37.344722 | [-5.1913890, -37.3447220] |
Muaná | Brazil | 7,464 | -1.533333 | -49.216667 | [-1.5333330, -49.2166670] |
Mucurici | Brazil | 9,524 | -18.1 | -40.516667 | [-18.1000000, -40.5166670] |
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