">Cidades |
">População |
">Casos confirmados |
">Óbitos |
" data-sheets-numberformat="">Óbitos por 100 mil habitantes |
" data-sheets-numberformat="">Letalidade % |
">São Paulo |
" data-sheets-numberformat="">12.252.023 |
">15213 |
">1337 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">10,9 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">8,8 |
">Osasco |
" data-sheets-numberformat="">698.418 |
">929 |
">89 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">12,7 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,6 |
">Guarulhos |
" data-sheets-numberformat="">1.379.182 |
">550 |
">64 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,6 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">11,6 |
">Barueri |
" data-sheets-numberformat="">274.182 |
">530 |
">36 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">13,1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">6,8 |
">São Bernardo* |
" data-sheets-numberformat="">838.936 |
">448 |
">49 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,8 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">10,9 |
">Santo André |
" data-sheets-numberformat="">718.773 |
">398 |
">36 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,0 |
">São Caetano |
" data-sheets-numberformat="">161.127 |
">304 |
">12 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">7,4 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">3,9 |
">Diadema |
" data-sheets-numberformat="">423.884 |
">233 |
">19 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,5 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">8,2 |
">Mogi das Cruzes |
" data-sheets-numberformat="">445.842 |
">221 |
">19 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,3 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">8,6 |
">Taboão da Serra |
" data-sheets-numberformat="">289.664 |
">168 |
">21 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">7,2 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">12,5 |
">Itaquaquecetuba |
" data-sheets-numberformat="">370.821 |
">154 |
">14 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">3,8 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,1 |
">Cotia |
" data-sheets-numberformat="">249.210 |
">144 |
">16 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">6,4 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">11,1 |
">Santana de Parnaíba |
" data-sheets-numberformat="">139.447 |
">143 |
">5 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">3,6 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">3,5 |
">Suzano |
" data-sheets-numberformat="">297.637 |
">131 |
">13 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,4 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,9 |
">Carapicuiba |
" data-sheets-numberformat="">400.927 |
">130 |
">16 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">12,3 |
">Franco da Rocha |
" data-sheets-numberformat="">154.489 |
">126 |
">13 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">8,4 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">10,3 |
">Mauá |
" data-sheets-numberformat="">472.912 |
">121 |
">20 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,2 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">16,5 |
">Itapevi |
" data-sheets-numberformat="">237.700 |
">114 |
">14 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,9 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">12,3 |
">Francisco Morato |
" data-sheets-numberformat="">175.844 |
">107 |
">10 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,7 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,3 |
">Ferraz de Vasconcelos |
" data-sheets-numberformat="">194.276 |
">107 |
">10 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,3 |
">Cajamar |
" data-sheets-numberformat="">76.801 |
">81 |
">4 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,2 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">4,9 |
">Itapecerica da Serra |
" data-sheets-numberformat="">175.693 |
">81 |
">8 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,6 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,9 |
">Embu das Artes |
" data-sheets-numberformat="">273.726 |
">79 |
">14 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">17,7 |
">Caieiras |
" data-sheets-numberformat="">101.470 |
">71 |
">13 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">12,8 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">18,3 |
">Ribeirão Pires |
" data-sheets-numberformat="">123.393 |
">55 |
">5 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,1 |
">Arujá |
" data-sheets-numberformat="">89.824 |
">55 |
">2 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">2,2 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">3,6 |
">Jandira |
" data-sheets-numberformat="">124.937 |
">47 |
">9 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">7,2 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">19,1 |
">Poá |
">117452 |
">41 |
">6 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">14,6 |
">Mairiporã |
" data-sheets-numberformat="">100.179 |
">37 |
">4 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">4,0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">10,8 |
">Embu-Guaçu |
" data-sheets-numberformat="">69.385 |
">29 |
">7 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">10,1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">24,1 |
">Santa isabel |
" data-sheets-numberformat="">57.386 |
">21 |
">5 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">8,7 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">23,8 |
">Rio Grande da Serra |
" data-sheets-numberformat="">50.846 |
">21 |
">0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">0,0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">0,0 |
">Biritiba Mirim |
" data-sheets-numberformat="">32.598 |
">14 |
">0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">0,0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">0,0 |
">Pirapora do Bom Jesus |
" data-sheets-numberformat="">18.895 |
">11 |
">0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">0,0 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">0,0 |
">Vargem Grande Paulista |
" data-sheets-numberformat="">52.597 |
">9 |
">3 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,7 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">33,3 |
">Guararema |
" data-sheets-numberformat="">29.798 |
">6 |
">2 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">6,7 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">33,3 |
">Juquitiba |
" data-sheets-numberformat="">31.444 |
">5 |
">1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">3,2 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">20,0 |
">São Lourenço da Serra |
" data-sheets-numberformat="">15.825 |
">4 |
">1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">6,3 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">25,0 |
">Salesópolis |
" data-sheets-numberformat="">17.139 |
">1 |
">1 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">5,8 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">100,0 |
">Total |
" data-sheets-numberformat="" data-sheets-formula="=SOMA(R[-39]C[0]:R[-1]C[0])">21.734.682 |
" data-sheets-formula="=SOMA(R[-39]C[0]:R[-1]C[0])">20939 |
" data-sheets-formula="=SOMA(R[-39]C[0]:R[-1]C[0])">1898 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-1]/R[0]C[-3])*100000">8,7 |
" data-sheets-numberformat="" data-sheets-formula="=(R[0]C[-2]*100)/R[0]C[-3]">9,1 |
">Números levantados em 28 de abril de 2020 nas 39 prefeituras da Grande SP |