Mostly asked questions which must know everyone to increase their general knowledge about the world cities
List of world's latest cities by their respective states, countries as well as information about latitude and longitude of each city.
following list gives the answers of all questions which are asked above
| Alphabetical Position | City | Latitude | Longitude | States/Province | Country |
|---|---|---|---|---|---|
| 1 | Santa Cecília | -26.96083000 | -50.42694000 | Santa Catarina | Brazil |
| 2 | Santa Helena | -26.92350000 | -53.60898000 | Santa Catarina | Brazil |
| 3 | Santa Monica | -27.59137000 | -48.50756000 | Santa Catarina | Brazil |
| 4 | Santa Rosa de Lima | -28.01252000 | -49.18941000 | Santa Catarina | Brazil |
| 5 | Santa Rosa do Sul | -29.09751000 | -49.73510000 | Santa Catarina | Brazil |
| 6 | Santa Terezinha | -26.66961000 | -50.01340000 | Santa Catarina | Brazil |
| 7 | Santa Terezinha do Progresso | -26.59871000 | -53.18418000 | Santa Catarina | Brazil |
| 8 | Santiago do Sul | -26.63060000 | -52.67466000 | Santa Catarina | Brazil |
| 9 | Santo Amaro da Imperatriz | -27.68806000 | -48.77861000 | Santa Catarina | Brazil |
| 10 | Saudades | -26.87900000 | -53.04038000 | Santa Catarina | Brazil |
| 11 | São Bento do Sul | -26.25028000 | -49.37861000 | Santa Catarina | Brazil |
| 12 | São Bernardino | -26.46259000 | -52.96921000 | Santa Catarina | Brazil |
| 13 | São Bonifácio | -27.95656000 | -48.93970000 | Santa Catarina | Brazil |
| 14 | São Carlos | -27.04450000 | -53.03549000 | Santa Catarina | Brazil |
| 15 | São Cristóvão do Sul | -27.26707000 | -50.37731000 | Santa Catarina | Brazil |
| 16 | São Domingos | -26.56428000 | -52.55695000 | Santa Catarina | Brazil |
| 17 | São Francisco do Sul | -26.24333000 | -48.63806000 | Santa Catarina | Brazil |
| 18 | São Joaquim | -28.29389000 | -49.93167000 | Santa Catarina | Brazil |
| 19 | São João Batista | -27.27611000 | -48.84944000 | Santa Catarina | Brazil |
| 20 | São João do Itaperiú | -26.60265000 | -48.80051000 | Santa Catarina | Brazil |
| 21 | São João do Oeste | -27.08310000 | -53.59218000 | Santa Catarina | Brazil |
| 22 | São João do Sul | -29.20713000 | -49.85103000 | Santa Catarina | Brazil |
| 23 | São José | -28.21171000 | -49.16320000 | Santa Catarina | Brazil |
| 24 | São José do Cedro | -26.48127000 | -53.56285000 | Santa Catarina | Brazil |
| 25 | São José do Cerrito | -27.60401000 | -50.65663000 | Santa Catarina | Brazil |
| 26 | São Lourenço do Oeste | -26.35917000 | -52.85111000 | Santa Catarina | Brazil |
| 27 | São Ludgero | -28.34254000 | -49.17537000 | Santa Catarina | Brazil |
| 28 | São Martinho | -28.10511000 | -48.98564000 | Santa Catarina | Brazil |
| 29 | São Miguel da Boa Vista | -26.68603000 | -53.25718000 | Santa Catarina | Brazil |
| 30 | São Miguel do Oeste | -26.71868000 | -53.51940000 | Santa Catarina | Brazil |
| 31 | São Pedro de Alcântara | -27.57276000 | -48.83917000 | Santa Catarina | Brazil |
| 32 | Schroeder | -26.41250000 | -49.07306000 | Santa Catarina | Brazil |
| 33 | Seara | -27.14478000 | -52.34857000 | Santa Catarina | Brazil |
| 34 | Serra Alta | -26.70236000 | -53.01399000 | Santa Catarina | Brazil |
| 35 | Siderópolis | -28.59778000 | -49.42444000 | Santa Catarina | Brazil |
| 36 | Sombrio | -29.11389000 | -49.61667000 | Santa Catarina | Brazil |
| 37 | Sul Brasil | -26.70686000 | -52.94355000 | Santa Catarina | Brazil |
| 38 | Taió | -27.08902000 | -50.09933000 | Santa Catarina | Brazil |
| 39 | Tangará | -27.12587000 | -51.09938000 | Santa Catarina | Brazil |
| 40 | Tapera | -27.68528000 | -48.55124000 | Santa Catarina | Brazil |
| 41 | Tigrinhos | -26.66573000 | -53.16125000 | Santa Catarina | Brazil |
| 42 | Tijucas | -27.24701000 | -48.71619000 | Santa Catarina | Brazil |
| 43 | Timbé do Sul | -28.79089000 | -49.89509000 | Santa Catarina | Brazil |
| 44 | Timbó | -26.82056000 | -49.28734000 | Santa Catarina | Brazil |
| 45 | Timbó Grande | -26.62458000 | -50.63553000 | Santa Catarina | Brazil |
| 46 | Três Barras | -26.16511000 | -50.27142000 | Santa Catarina | Brazil |
| 47 | Treviso | -28.49941000 | -49.50360000 | Santa Catarina | Brazil |
| 48 | Treze de Maio | -28.53919000 | -49.14504000 | Santa Catarina | Brazil |
| 49 | Treze Tílias | -26.95726000 | -51.43183000 | Santa Catarina | Brazil |
| 50 | Trindade | -27.58612000 | -48.52335000 | Santa Catarina | Brazil |
| 51 | Trombudo Central | -27.30803000 | -49.81251000 | Santa Catarina | Brazil |
| 52 | Tubarão | -28.46667000 | -49.00694000 | Santa Catarina | Brazil |
| 53 | Tunápolis | -26.99245000 | -53.65618000 | Santa Catarina | Brazil |
| 54 | Turvo | -28.89831000 | -49.68268000 | Santa Catarina | Brazil |
| 55 | União do Oeste | -26.79980000 | -52.89258000 | Santa Catarina | Brazil |
| 56 | Urubici | -28.04998000 | -49.57417000 | Santa Catarina | Brazil |
| 57 | Urupema | -28.04160000 | -49.92971000 | Santa Catarina | Brazil |
| 58 | Urussanga | -28.47460000 | -49.31252000 | Santa Catarina | Brazil |
| 59 | Vargeão | -26.84426000 | -52.15332000 | Santa Catarina | Brazil |
| 60 | Vargem | -27.45675000 | -50.95789000 | Santa Catarina | Brazil |
| 61 | Vargem Bonita | -26.93296000 | -51.74642000 | Santa Catarina | Brazil |
| 62 | Vidal Ramos | -27.38973000 | -49.33820000 | Santa Catarina | Brazil |
| 63 | Videira | -27.03437000 | -51.10156000 | Santa Catarina | Brazil |
| 64 | Vitor Meireles | -26.82672000 | -49.85522000 | Santa Catarina | Brazil |
| 65 | Witmarsum | -26.95010000 | -49.85590000 | Santa Catarina | Brazil |
| 66 | Xanxerê | -26.86668000 | -52.41490000 | Santa Catarina | Brazil |
| 67 | Xavantina | -26.98819000 | -52.32905000 | Santa Catarina | Brazil |
| 68 | Xaxim | -26.98685000 | -52.51611000 | Santa Catarina | Brazil |
| 69 | Zortéa | -27.49740000 | -51.50863000 | Santa Catarina | Brazil |
| 70 | Adamantina | -21.59136000 | -51.06669000 | São Paulo | Brazil |
| 71 | Adolfo | -21.28535000 | -49.65497000 | São Paulo | Brazil |
| 72 | Aguaí | -22.02590000 | -47.06702000 | São Paulo | Brazil |
| 73 | Agudos | -22.58942000 | -49.16164000 | São Paulo | Brazil |
| 74 | Alambari | -23.53745000 | -47.86273000 | São Paulo | Brazil |
| 75 | Alfredo Marcondes | -21.92954000 | -51.39519000 | São Paulo | Brazil |
| 76 | Altair | -20.53889000 | -49.10219000 | São Paulo | Brazil |
| 77 | Altinópolis | -21.00412000 | -47.39795000 | São Paulo | Brazil |
| 78 | Alto Alegre | -21.63149000 | -50.19601000 | São Paulo | Brazil |
| 79 | Alumínio | -23.52259000 | -47.28373000 | São Paulo | Brazil |
| 80 | Alvinlândia | -22.45669000 | -49.76243000 | São Paulo | Brazil |
| 81 | Américo Brasiliense | -21.71797000 | -48.01568000 | São Paulo | Brazil |
| 82 | Américo de Campos | -20.27453000 | -49.75539000 | São Paulo | Brazil |
| 83 | Americana | -22.71408000 | -47.29009000 | São Paulo | Brazil |
| 84 | Amparo | -22.70111000 | -46.76444000 | São Paulo | Brazil |
| 85 | Analândia | -22.12002000 | -47.68938000 | São Paulo | Brazil |
| 86 | Andradina | -20.86545000 | -51.31567000 | São Paulo | Brazil |
| 87 | Angatuba | -23.47450000 | -48.42565000 | São Paulo | Brazil |
| 88 | Anhembi | -22.83293000 | -48.16384000 | São Paulo | Brazil |
| 89 | Anhumas | -22.34571000 | -51.42761000 | São Paulo | Brazil |
| 90 | Aparecida | -22.90434000 | -45.23562000 | São Paulo | Brazil |
| 91 | Aparecida d'Oeste | -20.48414000 | -50.91883000 | São Paulo | Brazil |
| 92 | Apiaí | -24.39767000 | -48.82237000 | São Paulo | Brazil |
| 93 | Araçariguama | -23.42294000 | -47.07816000 | São Paulo | Brazil |
| 94 | Araçatuba | -21.14986000 | -50.57470000 | São Paulo | Brazil |
| 95 | Araçoiaba da Serra | -23.56602000 | -47.66733000 | São Paulo | Brazil |
| 96 | Aramina | -20.16724000 | -47.82645000 | São Paulo | Brazil |
| 97 | Arandu | -23.17065000 | -49.05861000 | São Paulo | Brazil |
| 98 | Arapeí | -22.66504000 | -44.43858000 | São Paulo | Brazil |
| 99 | Araraquara | -21.79444000 | -48.17556000 | São Paulo | Brazil |
| 100 | Araras | -22.35694000 | -47.38417000 | São Paulo | Brazil |
| 101 | Arco-Íris | -21.74342000 | -50.42979000 | São Paulo | Brazil |
| 102 | Arealva | -22.06881000 | -48.99294000 | São Paulo | Brazil |
| 103 | Areias | -22.66811000 | -44.71651000 | São Paulo | Brazil |
| 104 | Areiópolis | -22.60627000 | -48.65273000 | São Paulo | Brazil |
| 105 | Ariranha | -21.17685000 | -48.77771000 | São Paulo | Brazil |
| 106 | Artur Nogueira | -22.57306000 | -47.17250000 | São Paulo | Brazil |
| 107 | Arujá | -23.39611000 | -46.32083000 | São Paulo | Brazil |
| 108 | Aspásia | -20.18385000 | -50.73117000 | São Paulo | Brazil |
| 109 | Assis | -22.66167000 | -50.41222000 | São Paulo | Brazil |
| 110 | Atibaia | -23.13099000 | -46.58896000 | São Paulo | Brazil |
| 111 | Auriflama | -20.68556000 | -50.55472000 | São Paulo | Brazil |
| 112 | Avaí | -22.17789000 | -49.30511000 | São Paulo | Brazil |
| 113 | Avanhandava | -21.46596000 | -49.94791000 | São Paulo | Brazil |
| 114 | Avaré | -23.03402000 | -48.88802000 | São Paulo | Brazil |
| 115 | Águas da Prata | -21.91623000 | -46.68666000 | São Paulo | Brazil |
| 116 | Águas de Lindóia | -22.47639000 | -46.63278000 | São Paulo | Brazil |
| 117 | Águas de Santa Bárbara | -22.85764000 | -49.25362000 | São Paulo | Brazil |
| 118 | Águas de São Pedro | -22.60238000 | -47.87481000 | São Paulo | Brazil |
| 119 | Álvares Florence | -20.27757000 | -49.91405000 | São Paulo | Brazil |
| 120 | Álvares Machado | -22.07944000 | -51.47194000 | São Paulo | Brazil |
| 121 | Álvaro de Carvalho | -22.08676000 | -49.73512000 | São Paulo | Brazil |
| 122 | Óleo | -22.94964000 | -49.38996000 | São Paulo | Brazil |
| 123 | Bady Bassitt | -20.91806000 | -49.44528000 | São Paulo | Brazil |
| 124 | Balbinos | -21.90089000 | -49.33509000 | São Paulo | Brazil |
| 125 | Bananal | -22.73751000 | -44.33413000 | São Paulo | Brazil |
| 126 | Barão de Antonina | -23.57097000 | -49.56660000 | São Paulo | Brazil |
| 127 | Barbosa | -21.29619000 | -49.92293000 | São Paulo | Brazil |
| 128 | Bariri | -22.07444000 | -48.74028000 | São Paulo | Brazil |
| 129 | Barra Bonita | -22.49472000 | -48.55806000 | São Paulo | Brazil |
| 130 | Barra do Chapéu | -24.44047000 | -49.08615000 | São Paulo | Brazil |
| 131 | Barra do Turvo | -24.89045000 | -48.40790000 | São Paulo | Brazil |
| 132 | Barretos | -20.55722000 | -48.56778000 | São Paulo | Brazil |
| 133 | Barrinha | -21.19361000 | -48.16389000 | São Paulo | Brazil |
| 134 | Barueri | -23.51056000 | -46.87611000 | São Paulo | Brazil |
| 135 | Bastos | -21.92194000 | -50.73389000 | São Paulo | Brazil |
| 136 | Batatais | -20.83515000 | -47.56742000 | São Paulo | Brazil |
| 137 | Bauru | -22.31472000 | -49.06056000 | São Paulo | Brazil |
| 138 | Bálsamo | -20.70239000 | -49.55045000 | São Paulo | Brazil |
| 139 | Bebedouro | -20.94944000 | -48.47917000 | São Paulo | Brazil |
| 140 | Bento de Abreu | -21.34057000 | -50.86542000 | São Paulo | Brazil |
| 141 | Bernardino de Campos | -23.02698000 | -49.49277000 | São Paulo | Brazil |
| 142 | Bertioga | -23.85444000 | -46.13861000 | São Paulo | Brazil |
| 143 | Bilac | -21.42076000 | -50.47862000 | São Paulo | Brazil |
| 144 | Birigui | -21.28861000 | -50.34000000 | São Paulo | Brazil |
| 145 | Biritiba Mirim | -23.57250000 | -46.03861000 | São Paulo | Brazil |
| 146 | Biritiba-Mirim | -23.62009000 | -46.01938000 | São Paulo | Brazil |
| 147 | Boa Esperança do Sul | -21.99250000 | -48.39083000 | São Paulo | Brazil |
| 148 | Bocaina | -22.09830000 | -48.51952000 | São Paulo | Brazil |
| 149 | Bofete | -23.12244000 | -48.28058000 | São Paulo | Brazil |
| 150 | Boituva | -23.28333000 | -47.67222000 | São Paulo | Brazil |
| 151 | Bom Jesus dos Perdões | -23.13500000 | -46.46528000 | São Paulo | Brazil |
| 152 | Bom Sucesso de Itararé | -24.31225000 | -49.16700000 | São Paulo | Brazil |
| 153 | Boracéia | -22.19306000 | -48.77889000 | São Paulo | Brazil |
| 154 | Borá | -22.23881000 | -50.49252000 | São Paulo | Brazil |
| 155 | Borborema | -21.61972000 | -49.07361000 | São Paulo | Brazil |
| 156 | Borebi | -22.67635000 | -48.98476000 | São Paulo | Brazil |
| 157 | Botucatu | -22.88583000 | -48.44500000 | São Paulo | Brazil |
| 158 | Braúna | -21.56582000 | -50.35227000 | São Paulo | Brazil |
| 159 | Bragança Paulista | -22.95270000 | -46.54418000 | São Paulo | Brazil |
| 160 | Brejo Alegre | -21.17757000 | -50.21805000 | São Paulo | Brazil |
| 161 | Brodósqui | -20.99139000 | -47.65861000 | São Paulo | Brazil |
| 162 | Brodowski | -21.05060000 | -47.61728000 | São Paulo | Brazil |
| 163 | Brotas | -22.27942000 | -48.08744000 | São Paulo | Brazil |
| 164 | Buri | -23.79750000 | -48.59278000 | São Paulo | Brazil |
| 165 | Buritama | -21.06611000 | -50.14722000 | São Paulo | Brazil |
| 166 | Buritizal | -20.21345000 | -47.70776000 | São Paulo | Brazil |
| 167 | Caçapava | -23.10083000 | -45.70694000 | São Paulo | Brazil |
| 168 | Cabrália Paulista | -22.49155000 | -49.38637000 | São Paulo | Brazil |
| 169 | Cabreúva | -23.30750000 | -47.13278000 | São Paulo | Brazil |
| 170 | Cachoeira Paulista | -22.70115000 | -44.99229000 | São Paulo | Brazil |
| 171 | Caconde | -21.52944000 | -46.64389000 | São Paulo | Brazil |
| 172 | Cafelândia | -21.74295000 | -49.57061000 | São Paulo | Brazil |
| 173 | Caiabu | -21.93822000 | -51.23232000 | São Paulo | Brazil |
| 174 | Caieiras | -23.36417000 | -46.74056000 | São Paulo | Brazil |
| 175 | Caiuá | -21.76518000 | -51.95903000 | São Paulo | Brazil |
| 176 | Cajamar | -23.35193000 | -46.88129000 | São Paulo | Brazil |
| 177 | Cajati | -24.73611000 | -48.12278000 | São Paulo | Brazil |
| 178 | Cajobi | -20.88622000 | -48.85175000 | São Paulo | Brazil |
| 179 | Cajuru | -21.27528000 | -47.30417000 | São Paulo | Brazil |
| 180 | Campina do Monte Alegre | -23.61364000 | -48.45388000 | São Paulo | Brazil |
| 181 | Campinas | -22.90556000 | -47.06083000 | São Paulo | Brazil |
| 182 | Campo Limpo Paulista | -23.21599000 | -46.75842000 | São Paulo | Brazil |
| 183 | Campos do Jordão | -22.73944000 | -45.59139000 | São Paulo | Brazil |
| 184 | Campos Novos Paulista | -22.62889000 | -50.01282000 | São Paulo | Brazil |
| 185 | Cananéia | -25.01472000 | -47.92667000 | São Paulo | Brazil |
| 186 | Canas | -22.73999000 | -45.03208000 | São Paulo | Brazil |
| 187 | Canitar | -23.01421000 | -49.78705000 | São Paulo | Brazil |
| 188 | Capâo Bonito | -24.00583000 | -48.34944000 | São Paulo | Brazil |
| 189 | Capão Bonito | -24.06183000 | -48.29520000 | São Paulo | Brazil |
| 190 | Capela do Alto | -23.47056000 | -47.73472000 | São Paulo | Brazil |
| 191 | Capivari | -22.99500000 | -47.50778000 | São Paulo | Brazil |
| 192 | Caraguatatuba | -23.62028000 | -45.41306000 | São Paulo | Brazil |
| 193 | Carapicuíba | -23.55339000 | -46.84852000 | São Paulo | Brazil |
| 194 | Cardoso | -20.08194000 | -49.91417000 | São Paulo | Brazil |
| 195 | Casa Branca | -21.81396000 | -47.08264000 | São Paulo | Brazil |
| 196 | Castilho | -20.87222000 | -51.48750000 | São Paulo | Brazil |
| 197 | Catanduva | -21.13778000 | -48.97278000 | São Paulo | Brazil |
| 198 | Catiguá | -21.06536000 | -49.04977000 | São Paulo | Brazil |
| 199 | Cássia dos Coqueiros | -21.25917000 | -47.13783000 | São Paulo | Brazil |
| 200 | Cândido Mota | -22.74639000 | -50.38694000 | São Paulo | Brazil |
