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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