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 | Cândido Rodrigues | -21.34194000 | -48.63294000 | São Paulo | Brazil |
| 2 | Cedral | -20.90742000 | -49.25495000 | São Paulo | Brazil |
| 3 | Cerqueira César | -23.03556000 | -49.16611000 | São Paulo | Brazil |
| 4 | Cerquilho | -23.16500000 | -47.74361000 | São Paulo | Brazil |
| 5 | Cesário Lange | -23.21195000 | -47.88465000 | São Paulo | Brazil |
| 6 | Charqueada | -22.53724000 | -47.73770000 | São Paulo | Brazil |
| 7 | Chavantes | -23.03889000 | -49.70944000 | São Paulo | Brazil |
| 8 | Clementina | -21.57634000 | -50.46202000 | São Paulo | Brazil |
| 9 | Colômbia | -20.29302000 | -48.72328000 | São Paulo | Brazil |
| 10 | Colina | -20.75233000 | -48.58162000 | São Paulo | Brazil |
| 11 | Conchal | -22.34611000 | -47.13620000 | São Paulo | Brazil |
| 12 | Conchas | -23.01528000 | -48.01056000 | São Paulo | Brazil |
| 13 | Cordeirópolis | -22.48194000 | -47.45667000 | São Paulo | Brazil |
| 14 | Coroados | -21.37115000 | -50.31271000 | São Paulo | Brazil |
| 15 | Coronel Macedo | -23.62092000 | -49.30305000 | São Paulo | Brazil |
| 16 | Corumbataí | -22.21698000 | -47.59961000 | São Paulo | Brazil |
| 17 | Cosmópolis | -22.64583000 | -47.19611000 | São Paulo | Brazil |
| 18 | Cosmorama | -20.40934000 | -49.74905000 | São Paulo | Brazil |
| 19 | Cotia | -23.60389000 | -46.91917000 | São Paulo | Brazil |
| 20 | Cravinhos | -21.34028000 | -47.72944000 | São Paulo | Brazil |
| 21 | Cristais Paulista | -20.36538000 | -47.37300000 | São Paulo | Brazil |
| 22 | Cruzália | -22.73707000 | -50.75793000 | São Paulo | Brazil |
| 23 | Cruzeiro | -22.57316000 | -44.97108000 | São Paulo | Brazil |
| 24 | Cubatão | -23.89500000 | -46.42528000 | São Paulo | Brazil |
| 25 | Cunha | -23.07444000 | -44.95972000 | São Paulo | Brazil |
| 26 | Descalvado | -21.90389000 | -47.61944000 | São Paulo | Brazil |
| 27 | Diadema | -23.68611000 | -46.62278000 | São Paulo | Brazil |
| 28 | Dirce Reis | -20.45591000 | -50.62798000 | São Paulo | Brazil |
| 29 | Divinolândia | -21.66459000 | -46.70450000 | São Paulo | Brazil |
| 30 | Dobrada | -21.51531000 | -48.37033000 | São Paulo | Brazil |
| 31 | Dois Córregos | -22.36611000 | -48.38028000 | São Paulo | Brazil |
| 32 | Dolcinópolis | -20.11666000 | -50.52771000 | São Paulo | Brazil |
| 33 | Dourado | -22.11665000 | -48.35204000 | São Paulo | Brazil |
| 34 | Dracena | -21.57936000 | -51.59598000 | São Paulo | Brazil |
| 35 | Duartina | -22.41444000 | -49.40389000 | São Paulo | Brazil |
| 36 | Dumont | -21.24438000 | -47.99598000 | São Paulo | Brazil |
| 37 | Echaporã | -22.41080000 | -50.18262000 | São Paulo | Brazil |
| 38 | Eldorado | -24.50057000 | -48.25601000 | São Paulo | Brazil |
| 39 | Elias Fausto | -23.05880000 | -47.38776000 | São Paulo | Brazil |
| 40 | Elisiário | -21.15517000 | -49.09106000 | São Paulo | Brazil |
| 41 | Embaúba | -20.94301000 | -48.85819000 | São Paulo | Brazil |
| 42 | Embu | -23.64889000 | -46.85222000 | São Paulo | Brazil |
| 43 | Embu das Artes | -23.64664000 | -46.85386000 | São Paulo | Brazil |
| 44 | Embu Guaçu | -23.83222000 | -46.81139000 | São Paulo | Brazil |
| 45 | Embu-Guaçu | -23.85336000 | -46.83957000 | São Paulo | Brazil |
| 46 | Emilianópolis | -21.78179000 | -51.47959000 | São Paulo | Brazil |
| 47 | Engenheiro Coelho | -22.48904000 | -47.17256000 | São Paulo | Brazil |
| 48 | Espírito Santo do Pinhal | -22.18900000 | -46.78421000 | São Paulo | Brazil |
| 49 | Espírito Santo do Turvo | -22.66810000 | -49.42175000 | São Paulo | Brazil |
| 50 | Estiva Gerbi | -22.22052000 | -46.93878000 | São Paulo | Brazil |
| 51 | Estrela d'Oeste | -20.27767000 | -50.40807000 | São Paulo | Brazil |
| 52 | Estrela do Norte | -22.47843000 | -51.67954000 | São Paulo | Brazil |
| 53 | Euclides da Cunha Paulista | -22.51710000 | -52.59099000 | São Paulo | Brazil |
| 54 | Fartura | -23.38833000 | -49.51000000 | São Paulo | Brazil |
| 55 | Fernandópolis | -20.28389000 | -50.24639000 | São Paulo | Brazil |
| 56 | Fernando Prestes | -21.30945000 | -48.69583000 | São Paulo | Brazil |
| 57 | Fernão | -22.37381000 | -49.55434000 | São Paulo | Brazil |
| 58 | Ferraz de Vasconcelos | -23.56153000 | -46.37490000 | São Paulo | Brazil |
| 59 | Flórida Paulista | -21.54193000 | -51.18066000 | São Paulo | Brazil |
| 60 | Flora Rica | -21.70103000 | -51.37786000 | São Paulo | Brazil |
| 61 | Florínea | -22.87222000 | -50.68979000 | São Paulo | Brazil |
| 62 | Floreal | -20.65394000 | -50.15844000 | São Paulo | Brazil |
| 63 | Franca | -20.53861000 | -47.40083000 | São Paulo | Brazil |
| 64 | Francisco Morato | -23.26924000 | -46.70889000 | São Paulo | Brazil |
| 65 | Franco da Rocha | -23.30277000 | -46.73089000 | São Paulo | Brazil |
| 66 | Gabriel Monteiro | -21.49989000 | -50.56997000 | São Paulo | Brazil |
| 67 | Garça | -22.21056000 | -49.65611000 | São Paulo | Brazil |
| 68 | Gastão Vidigal | -20.80633000 | -50.19238000 | São Paulo | Brazil |
| 69 | Gavião Peixoto | -21.80879000 | -48.46904000 | São Paulo | Brazil |
| 70 | Gália | -22.34323000 | -49.57865000 | São Paulo | Brazil |
| 71 | General Salgado | -20.64833000 | -50.36056000 | São Paulo | Brazil |
| 72 | Getulina | -21.76343000 | -50.06225000 | São Paulo | Brazil |
| 73 | Glicério | -21.31866000 | -50.17782000 | São Paulo | Brazil |
| 74 | Guaíra | -20.31833000 | -48.31056000 | São Paulo | Brazil |
| 75 | Guaiçara | -21.55410000 | -49.76263000 | São Paulo | Brazil |
| 76 | Guaimbê | -21.86204000 | -49.84959000 | São Paulo | Brazil |
| 77 | Guapiaçu | -20.79500000 | -49.22028000 | São Paulo | Brazil |
| 78 | Guapiara | -24.21726000 | -48.54523000 | São Paulo | Brazil |
| 79 | Guaraçaí | -21.10820000 | -51.30124000 | São Paulo | Brazil |
| 80 | Guaraci | -20.41648000 | -49.00521000 | São Paulo | Brazil |
| 81 | Guarani d'Oeste | -20.07032000 | -50.36292000 | São Paulo | Brazil |
| 82 | Guarantã | -21.92281000 | -49.58519000 | São Paulo | Brazil |
| 83 | Guararapes | -21.26083000 | -50.64278000 | São Paulo | Brazil |
| 84 | Guararema | -23.41500000 | -46.03500000 | São Paulo | Brazil |
| 85 | Guaratinguetá | -22.81639000 | -45.19250000 | São Paulo | Brazil |
| 86 | Guará | -20.42833000 | -47.82417000 | São Paulo | Brazil |
| 87 | Guareí | -23.37338000 | -48.22466000 | São Paulo | Brazil |
| 88 | Guariba | -21.39568000 | -48.20427000 | São Paulo | Brazil |
| 89 | Guarujá | -23.99306000 | -46.25639000 | São Paulo | Brazil |
| 90 | Guarulhos | -23.46278000 | -46.53333000 | São Paulo | Brazil |
| 91 | Guatapará | -21.47231000 | -47.99142000 | São Paulo | Brazil |
| 92 | Guzolândia | -20.62040000 | -50.71925000 | São Paulo | Brazil |
| 93 | Herculândia | -21.96198000 | -50.38482000 | São Paulo | Brazil |
| 94 | Holambra | -22.63825000 | -47.06501000 | São Paulo | Brazil |
| 95 | Hortolândia | -22.85833000 | -47.22000000 | São Paulo | Brazil |
| 96 | Iacanga | -21.90745000 | -49.05917000 | São Paulo | Brazil |
| 97 | Iacri | -21.77798000 | -50.61517000 | São Paulo | Brazil |
| 98 | Iaras | -22.83679000 | -49.10928000 | São Paulo | Brazil |
| 99 | Ibaté | -21.95472000 | -47.99667000 | São Paulo | Brazil |
| 100 | Ibiúna | -23.65639000 | -47.22250000 | São Paulo | Brazil |
| 101 | Ibirarema | -22.80911000 | -50.07816000 | São Paulo | Brazil |
| 102 | Ibirá | -21.08880000 | -49.21879000 | São Paulo | Brazil |
| 103 | Ibitinga | -21.75778000 | -48.82889000 | São Paulo | Brazil |
| 104 | Icém | -20.38003000 | -49.20507000 | São Paulo | Brazil |
| 105 | Iepê | -22.65726000 | -51.04385000 | São Paulo | Brazil |
| 106 | Igaraçu do Tietê | -22.50917000 | -48.55778000 | São Paulo | Brazil |
| 107 | Igarapava | -20.03833000 | -47.74694000 | São Paulo | Brazil |
| 108 | Igaratá | -23.12994000 | -46.14647000 | São Paulo | Brazil |
| 109 | Iguape | -24.70806000 | -47.55528000 | São Paulo | Brazil |
| 110 | Ilha Comprida | -24.87792000 | -47.74757000 | São Paulo | Brazil |
| 111 | Ilha Solteira | -20.43278000 | -51.34250000 | São Paulo | Brazil |
| 112 | Ilhabela | -23.77806000 | -45.35806000 | São Paulo | Brazil |
| 113 | Inúbia Paulista | -21.72002000 | -50.94738000 | São Paulo | Brazil |
| 114 | Indaiatuba | -23.08842000 | -47.21190000 | São Paulo | Brazil |
| 115 | Indiana | -22.12587000 | -51.26047000 | São Paulo | Brazil |
| 116 | Indiaporã | -19.95987000 | -50.24419000 | São Paulo | Brazil |
| 117 | Ipauçu | -23.05667000 | -49.62639000 | São Paulo | Brazil |
| 118 | Ipaussu | -23.08202000 | -49.60370000 | São Paulo | Brazil |
| 119 | Ipeúna | -22.44376000 | -47.69449000 | São Paulo | Brazil |
| 120 | Iperó | -23.35028000 | -47.68861000 | São Paulo | Brazil |
| 121 | Ipiguá | -20.63984000 | -49.39781000 | São Paulo | Brazil |
| 122 | Iporanga | -24.50438000 | -48.55248000 | São Paulo | Brazil |
| 123 | Ipuã | -20.43806000 | -48.01222000 | São Paulo | Brazil |
| 124 | Iracemápolis | -22.58056000 | -47.51861000 | São Paulo | Brazil |
| 125 | Irapuã | -21.25013000 | -49.40247000 | São Paulo | Brazil |
| 126 | Irapuru | -21.44903000 | -51.33959000 | São Paulo | Brazil |
| 127 | Itaí | -23.41778000 | -49.09056000 | São Paulo | Brazil |
| 128 | Itaberá | -23.86194000 | -49.13722000 | São Paulo | Brazil |
| 129 | Itajobi | -21.31806000 | -49.05444000 | São Paulo | Brazil |
| 130 | Itaju | -21.92879000 | -48.78312000 | São Paulo | Brazil |
| 131 | Itanhaém | -24.18306000 | -46.78889000 | São Paulo | Brazil |
| 132 | Itaoca | -24.61155000 | -48.84390000 | São Paulo | Brazil |
| 133 | Itapecerica da Serra | -23.71694000 | -46.84917000 | São Paulo | Brazil |
| 134 | Itapetininga | -23.59167000 | -48.05306000 | São Paulo | Brazil |
| 135 | Itapeva | -23.94696000 | -48.83835000 | São Paulo | Brazil |
| 136 | Itapevi | -23.54889000 | -46.93417000 | São Paulo | Brazil |
| 137 | Itapira | -22.43611000 | -46.82167000 | São Paulo | Brazil |
| 138 | Itapirapuã Paulista | -24.55985000 | -49.22435000 | São Paulo | Brazil |
| 139 | Itaporanga | -23.70778000 | -49.48972000 | São Paulo | Brazil |
| 140 | Itapuí | -22.23333000 | -48.71917000 | São Paulo | Brazil |
| 141 | Itapura | -20.59626000 | -51.42537000 | São Paulo | Brazil |
| 142 | Itaquaquecetuba | -23.45806000 | -46.32917000 | São Paulo | Brazil |
| 143 | Itararé | -24.11250000 | -49.33167000 | São Paulo | Brazil |
| 144 | Itariri | -24.28880000 | -47.13325000 | São Paulo | Brazil |
| 145 | Itatiba | -23.00583000 | -46.83889000 | São Paulo | Brazil |
| 146 | Itatinga | -23.10167000 | -48.61583000 | São Paulo | Brazil |
| 147 | Itápolis | -21.59556000 | -48.81278000 | São Paulo | Brazil |
| 148 | Itirapina | -22.25278000 | -47.82278000 | São Paulo | Brazil |
| 149 | Itirapuã | -20.65755000 | -47.16859000 | São Paulo | Brazil |
| 150 | Itobi | -21.74902000 | -46.93051000 | São Paulo | Brazil |
| 151 | Itu | -23.26417000 | -47.29917000 | São Paulo | Brazil |
| 152 | Itupeva | -23.15306000 | -47.05778000 | São Paulo | Brazil |
| 153 | Ituverava | -20.33944000 | -47.78056000 | São Paulo | Brazil |
| 154 | Jaú | -22.29639000 | -48.55778000 | São Paulo | Brazil |
| 155 | Jaborandi | -20.66618000 | -48.40164000 | São Paulo | Brazil |
| 156 | Jaboticabal | -21.25472000 | -48.32222000 | São Paulo | Brazil |
| 157 | Jacareí | -23.30528000 | -45.96583000 | São Paulo | Brazil |
| 158 | Jaci | -20.94747000 | -49.57606000 | São Paulo | Brazil |
| 159 | Jacupiranga | -24.69250000 | -48.00222000 | São Paulo | Brazil |
| 160 | Jaguariúna | -22.70556000 | -46.98583000 | São Paulo | Brazil |
| 161 | Jales | -20.26889000 | -50.54583000 | São Paulo | Brazil |
| 162 | Jambeiro | -23.28154000 | -45.71217000 | São Paulo | Brazil |
| 163 | Jandira | -23.54082000 | -46.89571000 | São Paulo | Brazil |
| 164 | Jardim Paulista | -23.56675000 | -46.66439000 | São Paulo | Brazil |
| 165 | Jardinópolis | -21.01778000 | -47.76389000 | São Paulo | Brazil |
| 166 | Jarinu | -23.10139000 | -46.72833000 | São Paulo | Brazil |
| 167 | Júlio Mesquita | -21.97689000 | -49.78623000 | São Paulo | Brazil |
| 168 | Jeriquara | -20.33455000 | -47.57121000 | São Paulo | Brazil |
| 169 | Joanópolis | -22.93028000 | -46.27556000 | São Paulo | Brazil |
| 170 | João Ramalho | -22.24440000 | -50.78747000 | São Paulo | Brazil |
| 171 | José Bonifácio | -21.08986000 | -49.77293000 | São Paulo | Brazil |
| 172 | Jumirim | -23.10825000 | -47.79820000 | São Paulo | Brazil |
| 173 | Jundiaí | -23.18639000 | -46.88417000 | São Paulo | Brazil |
| 174 | Junqueirópolis | -21.51472000 | -51.43361000 | São Paulo | Brazil |
| 175 | Juquiá | -24.32083000 | -47.63472000 | São Paulo | Brazil |
| 176 | Juquitiba | -23.95860000 | -47.01366000 | São Paulo | Brazil |
| 177 | Lagoinha | -23.08443000 | -45.19973000 | São Paulo | Brazil |
| 178 | Laranjal Paulista | -23.04972000 | -47.83667000 | São Paulo | Brazil |
| 179 | Lavínia | -21.17069000 | -51.05184000 | São Paulo | Brazil |
| 180 | Lavrinhas | -22.51707000 | -44.88055000 | São Paulo | Brazil |
| 181 | Leme | -22.18556000 | -47.39028000 | São Paulo | Brazil |
| 182 | Lençóis Paulista | -22.59861000 | -48.80028000 | São Paulo | Brazil |
| 183 | Limeira | -22.56472000 | -47.40167000 | São Paulo | Brazil |
| 184 | Lindóia | -22.51250000 | -46.65352000 | São Paulo | Brazil |
| 185 | Lins | -21.67861000 | -49.74250000 | São Paulo | Brazil |
| 186 | Lorena | -22.73083000 | -45.12472000 | São Paulo | Brazil |
| 187 | Lourdes | -20.94345000 | -50.23799000 | São Paulo | Brazil |
| 188 | Louveira | -23.08252000 | -46.93308000 | São Paulo | Brazil |
| 189 | Luís Antônio | -21.55997000 | -47.81156000 | São Paulo | Brazil |
| 190 | Lucélia | -21.72028000 | -51.01889000 | São Paulo | Brazil |
| 191 | Lucianópolis | -22.48385000 | -49.54507000 | São Paulo | Brazil |
| 192 | Luiziânia | -21.68237000 | -50.35305000 | São Paulo | Brazil |
| 193 | Lupércio | -22.42771000 | -49.81232000 | São Paulo | Brazil |
| 194 | Lutécia | -22.30652000 | -50.37817000 | São Paulo | Brazil |
| 195 | Macatuba | -22.50222000 | -48.71139000 | São Paulo | Brazil |
| 196 | Macaubal | -20.86271000 | -49.98530000 | São Paulo | Brazil |
| 197 | Macedônia | -20.08825000 | -50.17318000 | São Paulo | Brazil |
| 198 | Magda | -20.57602000 | -50.22413000 | São Paulo | Brazil |
| 199 | Mairinque | -23.54583000 | -47.18333000 | São Paulo | Brazil |
| 200 | Mairiporã | -23.31861000 | -46.58667000 | São Paulo | Brazil |
