Datos nacionales
Viviendas principales según número de cuartos de baño o aseos por número de miembros del hogar y tamaño del municipio.
Units: Viviendas

,0,1,2,3 o más,Total,
Total,
    Total,19,028,8,137,281,8,850,153,1,803,584,18,810,046,
    1 persona,10,794,2,835,785,1,908,092,227,025,4,981,696,
    2 personas,3,134,2,514,040,2,684,707,506,002,5,707,883,
    3 personas,3,463,1,438,014,1,966,929,419,318,3,827,725,
    4 personas,1,637,949,814,1,786,558,444,616,3,182,625,
    5 personas o más,.,399,627,503,867,206,623,1,110,117,
De 50.000 habitantes o menos,
    Total,11,084,3,524,873,4,283,948,1,086,823,8,906,728,
    1 persona,7,471,1,289,105,950,043,141,075,2,387,693,
    2 personas,2,359,1,058,653,1,315,516,309,821,2,686,348,
    3 personas,459,608,324,937,648,247,961,1,794,392,
    4 personas,795,400,663,839,935,286,740,1,528,133,
    5 personas o más,.,168,129,240,806,101,226,510,161,
De 50.001 a 100.000 habitantes,
    Total,2,320,1,003,175,1,171,969,261,840,2,439,304,
    1 persona,1,328,356,331,258,381,34,603,650,643,
    2 personas,290,299,701,348,374,71,726,720,090,
    3 personas,399,171,646,261,310,63,253,496,609,
    4 personas,303,121,153,236,704,61,533,419,693,
    5 personas o más,.,54,344,67,200,30,725,152,269,
De 100.001 a 500.000 habitantes,
    Total,2,203,2,068,939,2,104,559,292,026,4,467,727,
    1 persona,1,443,695,257,439,477,33,239,1,169,417,
    2 personas,486,648,438,644,490,81,472,1,374,886,
    3 personas,274,379,950,484,258,69,066,933,548,
    4 personas,.,240,283,426,125,70,330,736,738,
    5 personas o más,.,105,010,110,208,37,919,253,138,
Más de 500.000 habitantes,
    Total,3,421,1,540,294,1,289,677,162,895,2,996,287,
    1 persona,.,495,092,260,191,18,108,773,943,
    2 personas,.,507,248,376,327,42,984,926,560,
    3 personas,2,331,278,094,283,712,39,039,603,176,
    4 personas,.,187,715,283,794,26,013,498,060,
    5 personas o más,.,72,145,85,652,36,751,194,549,
Notes:

.Data protected by statistical secrecy

1) El símbolo '.' debe interpretarse como dato que no se proporciona por muestra insuficiente.
Source: Instituto Nacional de Estadística