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
|
|---|---|---|---|---|---|
São Geraldo do Araguaia
|
Brazil
| 12,925
| -6.4
| -48.533333
|
[-6.4000000, -48.5333330]
|
São Gonçalo do Amarante
|
Brazil
| 10,381
| -5.766667
| -35.333333
|
[-5.7666670, -35.3333330]
|
São João de Pirabas
|
Brazil
| 10,065
| -0.766667
| -47.166667
|
[-0.7666670, -47.1666670]
|
São João do Piauí
|
Brazil
| 12,689
| -8.35
| -42.25
|
[-8.3500000, -42.2500000]
|
São José de Mipibu
|
Brazil
| 15,317
| -6.083333
| -35.25
|
[-6.0833330, -35.2500000]
|
São José do Calçado
|
Brazil
| 7,442
| -21.033333
| -41.666667
|
[-21.0333330, -41.6666670]
|
São José do Campestre
|
Brazil
| 10,254
| -6.3
| -35.7
|
[-6.3000000, -35.7000000]
|
São Mateus
|
Brazil
| 77,119
| -18.733333
| -39.85
|
[-18.7333330, -39.8500000]
|
São Miguel do Guamá
|
Brazil
| 28,266
| -1.616667
| -47.45
|
[-1.6166670, -47.4500000]
|
São Miguel do Tapuio
|
Brazil
| 7,964
| -5.5
| -41.333333
|
[-5.5000000, -41.3333330]
|
São Miguel
|
Brazil
| 12,838
| -5.466667
| -35.366667
|
[-5.4666670, -35.3666670]
|
São Paulo de Olivença
|
Brazil
| 11,763
| -3.45
| -68.8
|
[-3.4500000, -68.8000000]
|
São Paulo do Potengi
|
Brazil
| 9,334
| -5.916667
| -35.75
|
[-5.9166670, -35.7500000]
|
São Pedro do Piauí
|
Brazil
| 7,408
| -5.933333
| -42.716667
|
[-5.9333330, -42.7166670]
|
São Raimundo Nonato
|
Brazil
| 19,569
| -9.016667
| -42.7
|
[-9.0166670, -42.7000000]
|
São Tomé
|
Brazil
| 6,137
| -5.971389
| -36.073611
|
[-5.9713890, -36.0736110]
|
Senador Guiomard
|
Brazil
| 11,727
| -10.166667
| -67.833333
|
[-10.1666670, -67.8333330]
|
Senador José Porfírio
|
Brazil
| 5,708
| -2.583333
| -51.916667
|
[-2.5833330, -51.9166670]
|
Sena Madureira
|
Brazil
| 20,516
| -9.066667
| -68.666667
|
[-9.0666670, -68.6666670]
|
Serra
|
Brazil
| 394,160
| -20.116667
| -40.3
|
[-20.1166670, -40.3000000]
|
Severiano Melo
|
Brazil
| 2,503
| -5.766667
| -37.95
|
[-5.7666670, -37.9500000]
|
Sidrolândia
|
Brazil
| 16,878
| -20.916667
| -54.966667
|
[-20.9166670, -54.9666670]
|
Simão Dias
|
Brazil
| 18,386
| -10.733333
| -37.816667
|
[-10.7333330, -37.8166670]
|
Simões
|
Brazil
| 4,332
| -7.6
| -40.816667
|
[-7.6000000, -40.8166670]
|
Simplício Mendes
|
Brazil
| 7,076
| -7.85
| -41.9
|
[-7.8500000, -41.9000000]
|
Sítio Novo do Tocantins
|
Brazil
| 5,787
| -5.518333
| -47.461111
|
[-5.5183330, -47.4611110]
|
Soure
|
Brazil
| 18,212
| -0.733333
| -48.516667
|
[-0.7333330, -48.5166670]
|
Tabatinga
|
Brazil
| 28,230
| -4.240833
| -69.942222
|
[-4.2408330, -69.9422220]
|
Taguatinga
|
Brazil
| 9,330
| -12.465556
| -46.366944
|
[-12.4655560, -46.3669440]
|
Taipu
|
Brazil
| 4,606
| -5.616667
| -35.6
|
[-5.6166670, -35.6000000]
|
Tangará
|
Brazil
| 8,067
| -6.183333
| -35.816667
|
[-6.1833330, -35.8166670]
|
Tapauá
|
Brazil
| 13,211
| -5.620278
| -63.1875
|
[-5.6202780, -63.1875000]
|
Tarauacá
|
Brazil
| 16,526
| -8.166667
| -70.766667
|
[-8.1666670, -70.7666670]
|
Tefé
|
Brazil
| 44,943
| -3.366667
| -64.7
|
[-3.3666670, -64.7000000]
|
Terenos
|
Brazil
| 6,086
| -20.433333
| -54.833333
|
[-20.4333330, -54.8333330]
|
Teresina
|
Brazil
| 744,526
| -5.083333
| -42.816667
|
[-5.0833330, -42.8166670]
|
Terra Santa
|
Brazil
| 13,512
| -2.1
| -56.483333
|
[-2.1000000, -56.4833330]
|
Tobias Barreto
|
Brazil
| 29,741
| -11.183333
| -38.016667
|
[-11.1833330, -38.0166670]
|
Tocantinópolis
|
Brazil
| 23,383
| -6.324444
| -47.277778
|
[-6.3244440, -47.2777780]
|
Tomar do Geru
|
Brazil
| 4,394
| -11.383333
| -37.85
|
[-11.3833330, -37.8500000]
|
Tomé-Açu
|
Brazil
| 34,054
| -2.416667
| -48.15
|
[-2.4166670, -48.1500000]
|
Tonantins
|
Brazil
| 4,561
| -2.783333
| -67.783333
|
[-2.7833330, -67.7833330]
|
Touros
|
Brazil
| 7,662
| -5.2
| -35.466667
|
[-5.2000000, -35.4666670]
|
Três Lagoas
|
Brazil
| 78,714
| -20.8
| -51.716667
|
[-20.8000000, -51.7166670]
|
Tucumã
|
Brazil
| 15,031
| -0.183333
| -50.05
|
[-0.1833330, -50.0500000]
|
Tucuruí
|
Brazil
| 76,339
| -3.7
| -49.7
|
[-3.7000000, -49.7000000]
|
Uarini
|
Brazil
| 2,796
| -2.916667
| -65.133333
|
[-2.9166670, -65.1333330]
|
Umarizal
|
Brazil
| 8,781
| -5.983333
| -37.816667
|
[-5.9833330, -37.8166670]
|
Umbaúba
|
Brazil
| 12,880
| -11.366667
| -37.65
|
[-11.3666670, -37.6500000]
|
União
|
Brazil
| 15,678
| -4.583333
| -42.866667
|
[-4.5833330, -42.8666670]
|
Upanema
|
Brazil
| 6,704
| -5.644444
| -37.257778
|
[-5.6444440, -37.2577780]
|
Urucará
|
Brazil
| 8,603
| -2.536667
| -57.758056
|
[-2.5366670, -57.7580560]
|
Uruçuí
|
Brazil
| 12,243
| -7.233333
| -44.55
|
[-7.2333330, -44.5500000]
|
Urucurituba
|
Brazil
| 10,180
| -2.683333
| -57.666667
|
[-2.6833330, -57.6666670]
|
Valença do Piauí
|
Brazil
| 15,881
| -6.4
| -41.75
|
[-6.4000000, -41.7500000]
|
Vargem Alta
|
Brazil
| 4,672
| -20.666667
| -41
|
[-20.6666670, -41.0000000]
|
Várzea Grande
|
Brazil
| 249,766
| -15.65
| -56.133333
|
[-15.6500000, -56.1333330]
|
Viana
|
Brazil
| 55,123
| -20.383333
| -40.5
|
[-20.3833330, -40.5000000]
|
Vigia
|
Brazil
| 29,229
| -0.8
| -48.133333
|
[-0.8000000, -48.1333330]
|
Vila Velha
|
Brazil
| 394,937
| -20.333333
| -40.283333
|
[-20.3333330, -40.2833330]
|
Vilhena
|
Brazil
| 63,237
| -12.716667
| -60.116667
|
[-12.7166670, -60.1166670]
|
Viseu
|
Brazil
| 18,958
| -1.2
| -46.116667
|
[-1.2000000, -46.1166670]
|
Vitória
|
Brazil
| 312,662
| -20.316667
| -40.35
|
[-20.3166670, -40.3500000]
|
Wanderlândia
|
Brazil
| 6,545
| -6.835833
| -47.799167
|
[-6.8358330, -47.7991670]
|
Xambioá
|
Brazil
| 9,281
| -6.4325
| -48.381944
|
[-6.4325000, -48.3819440]
|
Xapuri
|
Brazil
| 5,721
| -10.65
| -68.516667
|
[-10.6500000, -68.5166670]
|
Água Branca
|
Brazil
| 5,161
| -9.283333
| -37.916667
|
[-9.2833330, -37.9166670]
|
Anadia
|
Brazil
| 9,574
| -9.7
| -36.3
|
[-9.7000000, -36.3000000]
|
Arapiraca
|
Brazil
| 166,566
| -9.75
| -36.65
|
[-9.7500000, -36.6500000]
|
Atalaia
|
Brazil
| 18,908
| -9.516667
| -36.033333
|
[-9.5166670, -36.0333330]
|
Batalha
|
Brazil
| 11,820
| -9.683333
| -37.133333
|
[-9.6833330, -37.1333330]
|
Bôca da Mata
|
Brazil
| 17,834
| -9.6
| -36.25
|
[-9.6000000, -36.2500000]
|
Cacimbinhas
|
Brazil
| 4,618
| -9.4
| -37
|
[-9.4000000, -37.0000000]
|
Cajueiro
|
Brazil
| 15,063
| -9.716667
| -36.45
|
[-9.7166670, -36.4500000]
|
Campo Alegre
|
Brazil
| 16,786
| -9.8
| -36.35
|
[-9.8000000, -36.3500000]
|
Campo Grande
|
Brazil
| 3,054
| -10.233333
| -36.5
|
[-10.2333330, -36.5000000]
|
Canapi
|
Brazil
| 4,219
| -9.133333
| -37.5
|
[-9.1333330, -37.5000000]
|
Capela
|
Brazil
| 12,520
| -9.416667
| -36.066667
|
[-9.4166670, -36.0666670]
|
Coité do Nóia
|
Brazil
| 2,529
| -9.666667
| -36.5
|
[-9.6666670, -36.5000000]
|
Colônia Leopoldina
|
Brazil
| 11,914
| -8.95
| -35.65
|
[-8.9500000, -35.6500000]
|
Coruripe
|
Brazil
| 31,428
| -10.133333
| -36.166667
|
[-10.1333330, -36.1666670]
|
Delmiro Gouveia
|
Brazil
| 35,260
| -9.383333
| -37.983333
|
[-9.3833330, -37.9833330]
|
Dois Riachos
|
Brazil
| 4,565
| -9.383333
| -37.083333
|
[-9.3833330, -37.0833330]
|
Feira Grande
|
Brazil
| 3,985
| -9.85
| -36.7
|
[-9.8500000, -36.7000000]
|
Flexeiras
|
Brazil
| 7,783
| -9.266667
| -35.716667
|
[-9.2666670, -35.7166670]
|
Girau do Ponciano
|
Brazil
| 9,606
| -9.916667
| -36.833333
|
[-9.9166670, -36.8333330]
|
Ibateguara
|
Brazil
| 8,755
| -8.983333
| -35.866667
|
[-8.9833330, -35.8666670]
|
Igaci
|
Brazil
| 6,480
| -9.55
| -36.633333
|
[-9.5500000, -36.6333330]
|
Igreja Nova
|
Brazil
| 4,606
| -10.116667
| -36.65
|
[-10.1166670, -36.6500000]
|
Inhapi
|
Brazil
| 7,550
| -9.233333
| -37.75
|
[-9.2333330, -37.7500000]
|
Joaquim Gomes
|
Brazil
| 14,808
| -9.2
| -35.716667
|
[-9.2000000, -35.7166670]
|
Jundiá
|
Brazil
| 2,267
| -8.933333
| -35.566667
|
[-8.9333330, -35.5666670]
|
Junqueiro
|
Brazil
| 7,740
| -9.933333
| -36.483333
|
[-9.9333330, -36.4833330]
|
Lagoa da Canoa
|
Brazil
| 13,428
| -9.816667
| -36.766667
|
[-9.8166670, -36.7666670]
|
Limoeiro de Anadia
|
Brazil
| 2,770
| -9.733333
| -36.516667
|
[-9.7333330, -36.5166670]
|
Maceió
|
Brazil
| 955,010
| -9.666667
| -35.716667
|
[-9.6666670, -35.7166670]
|
Major Isidoro
|
Brazil
| 8,507
| -9.533333
| -37
|
[-9.5333330, -37.0000000]
|
Maragogi
|
Brazil
| 16,066
| -9.016667
| -35.216667
|
[-9.0166670, -35.2166670]
|
Marechal Deodoro
|
Brazil
| 50,579
| -9.716667
| -35.9
|
[-9.7166670, -35.9000000]
|
Maribondo
|
Brazil
| 10,475
| -9.583333
| -36.233333
|
[-9.5833330, -36.2333330]
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.