Fuentes. Datos abiertos http://187.191.75.115/gobmx/salud/datos_abiertos/datos_abiertos_covid19.zip

Catálogo de los valores codificados https://datos.gob.mx/busca/dataset/informacion-referente-a-casos-covid-19-en-mexico

Basado en la propuesta de Diego Valle #https://gist.github.com/diegovalle/9e72ecc855f720aa645e33494d6efcb8

[1] 56000
Casos confirmados por municipio
Municipio casos población casos/pob 10^5
Francisco I. Madero 1742 2015 2984.92
Matamoros 1457 2015 1337.31
San Pedro 2204 2015 2076.46
Torreón 19901 2015 2929.69
Gómez Palacio 8999 2015 2629.09
Lerdo 2640 2015 1721.99
Tlahualilo 144 2015 628.96
Cassos atendidos por sector
Freq % Valid % Valid Cum. % Total % Total Cum.
CRUZ ROJA 6 0.02 0.02 0.02 0.02
DIF 0 0.00 0.02 0.00 0.02
ESTATAL 259 0.70 0.72 0.70 0.72
IMSS 15107 40.91 41.63 40.91 41.63
IMSS-BIENESTAR 642 1.74 43.37 1.74 43.37
ISSSTE 2524 6.84 50.21 6.84 50.21
MUNICIPAL 0 0.00 50.21 0.00 50.21
PEMEX 0 0.00 50.21 0.00 50.21
PRIVADA 5054 13.69 63.90 13.69 63.90
SEDENA 222 0.60 64.50 0.60 64.50
SEMAR 0 0.00 64.50 0.00 64.50
SSA 13032 35.30 99.79 35.30 99.79
UNIVERSITARIO 77 0.21 100.00 0.21 100.00
NO ESPECIFICADO 0 0.00 100.00 0.00 100.00
<NA> 0 NA NA 0.00 100.00
Total 36923 100.00 100.00 100.00 100.00

Casos en Torreón

Casos por fecha en Torreón
Edo/mun Fecha casos
05035 2020-02-28 1
05035 2020-03-11 1
05035 2020-03-17 1
05035 2020-03-19 3
05035 2020-03-20 1
05035 2020-03-24 1
05035 2020-03-27 1
05035 2020-04-01 1
05035 2020-04-02 2
05035 2020-04-03 2
05035 2020-04-06 2
05035 2020-04-07 1
05035 2020-04-08 1
05035 2020-04-11 1
05035 2020-04-13 3
05035 2020-04-14 4
05035 2020-04-15 1
05035 2020-04-17 2
05035 2020-04-21 2
05035 2020-04-22 2
05035 2020-04-23 2
05035 2020-04-24 2
05035 2020-04-25 1
05035 2020-04-26 1
05035 2020-04-27 8
05035 2020-04-28 4
05035 2020-04-29 2
05035 2020-04-30 2
05035 2020-05-01 6
05035 2020-05-03 1
05035 2020-05-04 5
05035 2020-05-05 13
05035 2020-05-06 9
05035 2020-05-07 11
05035 2020-05-08 7
05035 2020-05-09 4
05035 2020-05-10 4
05035 2020-05-11 7
05035 2020-05-12 12
05035 2020-05-13 9
05035 2020-05-14 23
05035 2020-05-15 21
05035 2020-05-16 14
05035 2020-05-17 8
05035 2020-05-18 28
05035 2020-05-19 30
05035 2020-05-20 21
05035 2020-05-21 33
05035 2020-05-22 20
05035 2020-05-23 25
05035 2020-05-24 6
05035 2020-05-25 25
05035 2020-05-26 19
05035 2020-05-27 22
05035 2020-05-28 24
05035 2020-05-29 48
05035 2020-05-30 26
05035 2020-05-31 16
05035 2020-06-01 67
05035 2020-06-02 29
05035 2020-06-03 45
05035 2020-06-04 33
05035 2020-06-05 47
05035 2020-06-06 32
05035 2020-06-07 17
05035 2020-06-08 78
05035 2020-06-09 73
05035 2020-06-10 58
05035 2020-06-11 64
05035 2020-06-12 62
05035 2020-06-13 28
05035 2020-06-14 25
05035 2020-06-15 68
05035 2020-06-16 61
05035 2020-06-17 69
05035 2020-06-18 79
05035 2020-06-19 77
05035 2020-06-20 49
05035 2020-06-21 34
05035 2020-06-22 92
05035 2020-06-23 108
05035 2020-06-24 76
05035 2020-06-25 47
05035 2020-06-26 72
05035 2020-06-27 52
05035 2020-06-28 40
05035 2020-06-29 89
05035 2020-06-30 75
05035 2020-07-01 97
05035 2020-07-02 78
05035 2020-07-03 64
05035 2020-07-04 42
05035 2020-07-05 24
05035 2020-07-06 64
05035 2020-07-07 71
05035 2020-07-08 51
05035 2020-07-09 63
05035 2020-07-10 68
05035 2020-07-11 34
05035 2020-07-12 24
05035 2020-07-13 69
05035 2020-07-14 69
05035 2020-07-15 77
05035 2020-07-16 63
05035 2020-07-17 68
05035 2020-07-18 30
05035 2020-07-19 21
05035 2020-07-20 48
05035 2020-07-21 66
05035 2020-07-22 37
05035 2020-07-23 63
05035 2020-07-24 69
05035 2020-07-25 41
05035 2020-07-26 25
05035 2020-07-27 71
05035 2020-07-28 50
05035 2020-07-29 64
05035 2020-07-30 42
05035 2020-07-31 47
05035 2020-08-01 32
05035 2020-08-02 21
05035 2020-08-03 53
05035 2020-08-04 71
05035 2020-08-05 60
05035 2020-08-06 50
05035 2020-08-07 56
05035 2020-08-08 32
05035 2020-08-09 26
05035 2020-08-10 59
05035 2020-08-11 60
05035 2020-08-12 40
05035 2020-08-13 41
05035 2020-08-14 46
05035 2020-08-15 30
05035 2020-08-16 50
05035 2020-08-17 34
05035 2020-08-18 63
05035 2020-08-19 52
05035 2020-08-20 43
05035 2020-08-21 46
05035 2020-08-22 13
05035 2020-08-23 21
05035 2020-08-24 42
05035 2020-08-25 37
05035 2020-08-26 82
05035 2020-08-27 45
05035 2020-08-28 29
05035 2020-08-29 22
05035 2020-08-30 8
05035 2020-08-31 46
05035 2020-09-01 46
05035 2020-09-02 48
05035 2020-09-03 45
05035 2020-09-04 40
05035 2020-09-05 17
05035 2020-09-06 38
05035 2020-09-07 46
05035 2020-09-08 49
05035 2020-09-09 31
05035 2020-09-10 27
05035 2020-09-11 31
05035 2020-09-12 9
05035 2020-09-13 17
05035 2020-09-14 36
05035 2020-09-15 21
05035 2020-09-16 17
05035 2020-09-17 25
05035 2020-09-18 23
05035 2020-09-19 15
05035 2020-09-20 16
05035 2020-09-21 28
05035 2020-09-22 20
05035 2020-09-23 30
05035 2020-09-24 25
05035 2020-09-25 29
05035 2020-09-26 18
05035 2020-09-27 26
05035 2020-09-28 33
05035 2020-09-29 38
05035 2020-09-30 46
05035 2020-10-01 30
05035 2020-10-02 35
05035 2020-10-03 30
05035 2020-10-04 36
05035 2020-10-05 44
05035 2020-10-06 58
05035 2020-10-07 55
05035 2020-10-08 40
05035 2020-10-09 64
05035 2020-10-10 55
05035 2020-10-11 47
05035 2020-10-12 85
05035 2020-10-13 112
05035 2020-10-14 75
05035 2020-10-15 84
05035 2020-10-16 105
05035 2020-10-17 84
05035 2020-10-18 86
05035 2020-10-19 152
05035 2020-10-20 163
05035 2020-10-21 170
05035 2020-10-22 142
05035 2020-10-23 186
05035 2020-10-24 132
05035 2020-10-25 85
05035 2020-10-26 154
05035 2020-10-27 138
05035 2020-10-28 167
05035 2020-10-29 106
05035 2020-10-30 118
05035 2020-10-31 72
05035 2020-11-01 49
05035 2020-11-02 131
05035 2020-11-03 125
05035 2020-11-04 140
05035 2020-11-05 143
05035 2020-11-06 140
05035 2020-11-07 90
05035 2020-11-08 72
05035 2020-11-09 158
05035 2020-11-10 164
05035 2020-11-11 156
05035 2020-11-12 151
05035 2020-11-13 125
05035 2020-11-14 110
05035 2020-11-15 42
05035 2020-11-16 70
05035 2020-11-17 152
05035 2020-11-18 155
05035 2020-11-19 103
05035 2020-11-20 139
05035 2020-11-21 82
05035 2020-11-22 49
05035 2020-11-23 109
05035 2020-11-24 111
05035 2020-11-25 111
05035 2020-11-26 111
05035 2020-11-27 114
05035 2020-11-28 51
05035 2020-11-29 42
05035 2020-11-30 102
05035 2020-12-01 109
05035 2020-12-02 92
05035 2020-12-03 121
05035 2020-12-04 93
05035 2020-12-05 30
05035 2020-12-06 23
05035 2020-12-07 67
05035 2020-12-08 98
05035 2020-12-09 82
05035 2020-12-10 82
05035 2020-12-11 46
05035 2020-12-12 37
05035 2020-12-13 15
05035 2020-12-14 76
05035 2020-12-15 72
05035 2020-12-16 73
05035 2020-12-17 78
05035 2020-12-18 39
05035 2020-12-19 28
05035 2020-12-20 27
05035 2020-12-21 53
05035 2020-12-22 83
05035 2020-12-23 45
05035 2020-12-24 27
05035 2020-12-25 12
05035 2020-12-26 24
05035 2020-12-27 25
05035 2020-12-28 51
05035 2020-12-29 51
05035 2020-12-30 57
05035 2020-12-31 53
05035 2021-01-01 15
05035 2021-01-02 34
05035 2021-01-03 28
05035 2021-01-04 73
05035 2021-01-05 60
05035 2021-01-06 66
05035 2021-01-07 74
05035 2021-01-08 41
05035 2021-01-09 24
05035 2021-01-10 29
05035 2021-01-11 53
05035 2021-01-12 70
05035 2021-01-13 46
05035 2021-01-14 43
05035 2021-01-15 56
05035 2021-01-16 21
05035 2021-01-17 21
05035 2021-01-18 41
05035 2021-01-19 41
05035 2021-01-20 39
05035 2021-01-21 22
05035 2021-01-22 37
05035 2021-01-23 10
05035 2021-01-24 31
05035 2021-01-25 31
05035 2021-01-26 40
05035 2021-01-27 25
05035 2021-01-28 26
05035 2021-01-29 35
05035 2021-01-30 17
05035 2021-01-31 22
05035 2021-02-01 11
05035 2021-02-02 23
05035 2021-02-03 27
05035 2021-02-04 34
05035 2021-02-05 40
05035 2021-02-06 9
05035 2021-02-07 12
05035 2021-02-08 32
05035 2021-02-09 22
05035 2021-02-10 15
05035 2021-02-11 22
05035 2021-02-12 19
05035 2021-02-13 9
05035 2021-02-14 6
05035 2021-02-15 16
05035 2021-02-16 7
05035 2021-02-17 14
05035 2021-02-18 17
05035 2021-02-19 11
05035 2021-02-20 11
05035 2021-02-21 7
05035 2021-02-22 12
05035 2021-02-23 9
05035 2021-02-24 16
05035 2021-02-25 10
05035 2021-02-26 13
05035 2021-02-27 6
05035 2021-02-28 5
05035 2021-03-01 11
05035 2021-03-02 14
05035 2021-03-03 14
05035 2021-03-04 6
05035 2021-03-05 12
05035 2021-03-06 9
05035 2021-03-07 8
05035 2021-03-08 12
05035 2021-03-09 18
05035 2021-03-10 10
05035 2021-03-11 9
05035 2021-03-12 8
05035 2021-03-13 2
05035 2021-03-14 2
05035 2021-03-15 1
05035 2021-03-16 9
05035 2021-03-17 16
05035 2021-03-18 5
05035 2021-03-19 5
05035 2021-03-20 3
05035 2021-03-22 7
05035 2021-03-23 26
05035 2021-03-24 10
05035 2021-03-25 8
05035 2021-03-26 15
05035 2021-03-27 4
05035 2021-03-28 4
05035 2021-03-29 8
05035 2021-03-30 15
05035 2021-03-31 8
05035 2021-04-01 3
05035 2021-04-02 4
05035 2021-04-04 2
05035 2021-04-05 9
05035 2021-04-06 9
05035 2021-04-07 4
05035 2021-04-08 5
05035 2021-04-09 4
05035 2021-04-10 3
05035 2021-04-11 4
05035 2021-04-12 10
05035 2021-04-13 10
05035 2021-04-14 6
05035 2021-04-15 5
05035 2021-04-16 3
05035 2021-04-17 6
05035 2021-04-18 11
05035 2021-04-19 8
05035 2021-04-20 12
05035 2021-04-21 8
05035 2021-04-22 10
05035 2021-04-23 13
05035 2021-04-24 4
05035 2021-04-25 1
05035 2021-04-26 9
05035 2021-04-27 13
05035 2021-04-28 6
05035 2021-04-29 15
05035 2021-04-30 10
05035 2021-05-01 4
05035 2021-05-02 1
05035 2021-05-03 12
05035 2021-05-04 3
05035 2021-05-05 4
05035 2021-05-06 6
05035 2021-05-07 4
05035 2021-05-08 2
05035 2021-05-09 4
05035 2021-05-10 8
05035 2021-05-11 5
05035 2021-05-12 2
05035 2021-05-13 4
05035 2021-05-14 2
05035 2021-05-15 2
05035 2021-05-16 2
05035 2021-05-17 8
05035 2021-05-18 8
05035 2021-05-19 10
05035 2021-05-20 4
05035 2021-05-21 4
05035 2021-05-24 4
05035 2021-05-25 10
05035 2021-05-26 2
05035 2021-05-27 5
05035 2021-05-31 4
05035 2021-06-01 6
05035 2021-06-02 1
05035 2021-06-04 1
05035 2021-06-05 2
05035 2021-06-07 3
05035 2021-06-08 4
05035 2021-06-09 3
05035 2021-06-10 1
05035 2021-06-11 2
05035 2021-06-12 1
05035 2021-06-14 1
05035 2021-06-15 1
05035 2021-06-16 1
05035 2021-06-17 1
05035 2021-06-18 2
05035 2021-06-20 1
05035 2021-06-21 2
05035 2021-06-22 4
05035 2021-06-23 3
05035 2021-06-24 2
05035 2021-06-25 3
05035 2021-06-26 1
05035 2021-06-27 1
05035 2021-06-28 2
05035 2021-06-29 3
05035 2021-06-30 6
05035 2021-07-01 4
05035 2021-07-02 3
05035 2021-07-03 4
05035 2021-07-04 1
05035 2021-07-05 4
05035 2021-07-06 5
05035 2021-07-07 6
05035 2021-07-08 12
05035 2021-07-09 13
05035 2021-07-10 2
05035 2021-07-11 5
05035 2021-07-12 16
05035 2021-07-13 19
05035 2021-07-14 7
05035 2021-07-15 8
05035 2021-07-16 10
05035 2021-07-17 8
05035 2021-07-18 8
05035 2021-07-19 20
05035 2021-07-20 19
05035 2021-07-21 9
05035 2021-07-22 7
05035 2021-07-23 13
05035 2021-07-24 11
05035 2021-07-25 7
05035 2021-07-26 15
05035 2021-07-27 14
05035 2021-07-28 25
05035 2021-07-29 22
05035 2021-07-30 19
05035 2021-07-31 12
05035 2021-08-01 13
05035 2021-08-02 18
05035 2021-08-03 20
05035 2021-08-04 13
05035 2021-08-05 22
05035 2021-08-06 17
05035 2021-08-07 22
05035 2021-08-08 11
05035 2021-08-09 26
05035 2021-08-10 28
05035 2021-08-11 24
05035 2021-08-12 21
05035 2021-08-13 31
05035 2021-08-14 10
05035 2021-08-15 11
05035 2021-08-16 27
05035 2021-08-17 21
05035 2021-08-18 22
05035 2021-08-19 22
05035 2021-08-20 18
05035 2021-08-21 14
05035 2021-08-22 5
05035 2021-08-23 15
05035 2021-08-24 22
05035 2021-08-25 25
05035 2021-08-26 13
05035 2021-08-27 16
05035 2021-08-28 5
05035 2021-08-29 2
05035 2021-08-30 18
05035 2021-08-31 8
05035 2021-09-01 13
05035 2021-09-02 8
05035 2021-09-03 8
05035 2021-09-04 8
05035 2021-09-05 7
05035 2021-09-06 9
05035 2021-09-07 18
05035 2021-09-08 19
05035 2021-09-09 13
05035 2021-09-10 9
05035 2021-09-11 5
05035 2021-09-12 4
05035 2021-09-13 18
05035 2021-09-14 14
05035 2021-09-15 9
05035 2021-09-16 3
05035 2021-09-17 17
05035 2021-09-18 3
05035 2021-09-19 3
05035 2021-09-20 12
05035 2021-09-21 21
05035 2021-09-22 23
05035 2021-09-23 18
05035 2021-09-24 21
05035 2021-09-25 7
05035 2021-09-26 5
05035 2021-09-27 13
05035 2021-09-28 14
05035 2021-09-29 18
05035 2021-09-30 12
05035 2021-10-01 16
05035 2021-10-02 4
05035 2021-10-03 1
05035 2021-10-04 17
05035 2021-10-05 16
05035 2021-10-06 14
05035 2021-10-07 8
05035 2021-10-08 10
05035 2021-10-09 7
05035 2021-10-10 5
05035 2021-10-11 5
05035 2021-10-12 8
05035 2021-10-13 9
05035 2021-10-14 9
05035 2021-10-15 3
05035 2021-10-16 2
05035 2021-10-18 8
05035 2021-10-19 4
05035 2021-10-20 8
05035 2021-10-21 7
05035 2021-10-22 9
05035 2021-10-23 6
05035 2021-10-24 2
05035 2021-10-25 16
05035 2021-10-26 7
05035 2021-10-27 10
05035 2021-10-28 5
05035 2021-10-29 6
05035 2021-10-30 4
05035 2021-10-31 2
05035 2021-11-01 8
05035 2021-11-02 6
05035 2021-11-03 8
05035 2021-11-04 11
05035 2021-11-05 4
05035 2021-11-06 6
05035 2021-11-07 2
05035 2021-11-08 13
05035 2021-11-09 11
05035 2021-11-10 12
05035 2021-11-11 15
05035 2021-11-12 9
05035 2021-11-13 5
05035 2021-11-14 2
05035 2021-11-15 7
05035 2021-11-16 9
05035 2021-11-17 20
05035 2021-11-18 14
05035 2021-11-19 15
05035 2021-11-20 7
05035 2021-11-21 5
05035 2021-11-22 13
05035 2021-11-23 15
05035 2021-11-24 20
05035 2021-11-25 11
05035 2021-11-26 9
05035 2021-11-27 9
05035 2021-11-28 3
05035 2021-11-29 16
05035 2021-11-30 11
05035 2021-12-01 18
05035 2021-12-02 8
05035 2021-12-03 12
05035 2021-12-04 3
05035 2021-12-05 2
05035 2021-12-06 9
05035 2021-12-07 7
05035 2021-12-08 15
05035 2021-12-09 12
05035 2021-12-10 12
05035 2021-12-11 5
05035 2021-12-12 10
05035 2021-12-13 20
05035 2021-12-14 5
05035 2021-12-15 11
05035 2021-12-16 13
05035 2021-12-17 12
05035 2021-12-18 8
05035 2021-12-19 9
05035 2021-12-20 11
05035 2021-12-21 19
05035 2021-12-22 13
05035 2021-12-23 10
05035 2021-12-24 5
05035 2021-12-25 11
05035 2021-12-26 5
05035 2021-12-27 5
05035 2021-12-28 17
05035 2021-12-29 21
05035 2021-12-30 27
05035 2021-12-31 18
05035 2022-01-01 2
05035 2022-01-02 5
05035 2022-01-03 17
05035 2022-01-04 30
05035 2022-01-05 25
05035 2022-01-06 37
05035 2022-01-07 19
05035 2022-01-08 13
05035 2022-01-09 2
05035 2022-01-10 33
05035 2022-01-11 27
05035 2022-01-12 51
05035 2022-01-13 55
05035 2022-01-14 43
05035 2022-01-15 32
05035 2022-01-16 12
05035 2022-01-17 53
05035 2022-01-18 50
05035 2022-01-19 43
05035 2022-01-20 20
05035 2022-01-21 55
05035 2022-01-22 10
05035 2022-01-23 6
05035 2022-01-24 25
05035 2022-01-25 22
05035 2022-01-26 22
05035 2022-01-27 26
05035 2022-01-28 9
05035 2022-01-29 7
05035 2022-01-30 7
05035 2022-01-31 24
05035 2022-02-01 16
05035 2022-02-02 11
05035 2022-02-03 13
05035 2022-02-04 9
05035 2022-02-05 6
05035 2022-02-06 5
05035 2022-02-07 6
05035 2022-02-08 16
05035 2022-02-09 12
05035 2022-02-10 3
05035 2022-02-11 5
05035 2022-02-12 1
05035 2022-02-13 2
05035 2022-02-14 6
05035 2022-02-15 4
05035 2022-02-16 4
05035 2022-02-18 1
05035 2022-02-21 3
05035 2022-02-22 1
05035 2022-02-23 2
05035 2022-02-25 1
05035 2022-02-26 2
05035 2022-02-27 1
05035 2022-02-28 3
05035 2022-03-01 1
05035 2022-03-02 1
05035 2022-03-04 1
05035 2022-03-05 1
05035 2022-03-07 1
05035 2022-03-09 4
05035 2022-03-10 1
05035 2022-03-12 1
05035 2022-03-14 1
05035 2022-03-15 1
05035 2022-03-16 1
05035 2022-03-20 1
05035 2022-03-26 2
05035 2022-03-28 1
05035 2022-03-29 1
05035 2022-03-30 2
05035 2022-03-31 1
05035 2022-04-06 1
05035 2022-04-07 1
05035 2022-04-08 1
05035 2022-04-12 1
05035 2022-04-13 1
05035 2022-04-14 1
05035 2022-04-16 1
05035 2022-04-20 1
05035 2022-04-26 2
05035 2022-05-09 2
05035 2022-05-19 1
05035 2022-05-22 2
05035 2022-05-23 1
05035 2022-05-24 8
05035 2022-05-25 1
05035 2022-05-26 1
05035 2022-05-27 1
05035 2022-05-28 1
05035 2022-05-30 1
05035 2022-05-31 4
05035 2022-06-01 2
05035 2022-06-02 3
05035 2022-06-03 2
05035 2022-06-04 3
05035 2022-06-06 7
05035 2022-06-07 5
05035 2022-06-08 7
05035 2022-06-09 8
05035 2022-06-10 6
05035 2022-06-11 5
05035 2022-06-12 2
05035 2022-06-13 3
05035 2022-06-14 13
05035 2022-06-15 6
05035 2022-06-16 8
05035 2022-06-17 10
05035 2022-06-18 16
05035 2022-06-19 4
05035 2022-06-20 9
05035 2022-06-21 9
05035 2022-06-22 8
05035 2022-06-23 10
05035 2022-06-24 10
05035 2022-06-25 1
05035 2022-06-26 4
05035 2022-06-27 15
05035 2022-06-28 18
05035 2022-06-29 25
05035 2022-06-30 17
05035 2022-07-01 17
05035 2022-07-02 6
05035 2022-07-03 2
05035 2022-07-04 27
05035 2022-07-05 19
05035 2022-07-06 14
05035 2022-07-07 7
05035 2022-07-08 8
05035 2022-07-09 1
05035 2022-07-11 8
05035 2022-07-12 13
05035 2022-07-13 9
05035 2022-07-14 12
05035 2022-07-15 5
05035 2022-07-16 2

Defunciones y variables médicas

Defunciones por municipio
def.municipio_name freq
Francisco I. Madero 121
Gómez Palacio 1054
Lerdo 157
Matamoros 164
San Pedro 184
Tlahualilo 33
Torreón 1548

Cross-Tabulation, Row Proportions

EDAD * situ

Data Frame: pos

situ DEF V Total
EDAD
0 1 ( 1.5%) 66 ( 98.5%) 67 (100.0%)
1 1 ( 2.0%) 48 ( 98.0%) 49 (100.0%)
2 0 ( 0.0%) 42 (100.0%) 42 (100.0%)
3 1 ( 2.2%) 44 ( 97.8%) 45 (100.0%)
4 1 ( 2.1%) 47 ( 97.9%) 48 (100.0%)
5 0 ( 0.0%) 39 (100.0%) 39 (100.0%)
6 0 ( 0.0%) 40 (100.0%) 40 (100.0%)
7 1 ( 2.2%) 44 ( 97.8%) 45 (100.0%)
8 0 ( 0.0%) 49 (100.0%) 49 (100.0%)
9 0 ( 0.0%) 44 (100.0%) 44 (100.0%)
10 1 ( 1.6%) 63 ( 98.4%) 64 (100.0%)
11 1 ( 1.7%) 59 ( 98.3%) 60 (100.0%)
12 2 ( 2.6%) 75 ( 97.4%) 77 (100.0%)
13 0 ( 0.0%) 90 (100.0%) 90 (100.0%)
14 0 ( 0.0%) 95 (100.0%) 95 (100.0%)
15 0 ( 0.0%) 150 (100.0%) 150 (100.0%)
16 1 ( 0.6%) 159 ( 99.4%) 160 (100.0%)
17 0 ( 0.0%) 166 (100.0%) 166 (100.0%)
18 2 ( 0.8%) 249 ( 99.2%) 251 (100.0%)
19 1 ( 0.3%) 321 ( 99.7%) 322 (100.0%)
20 3 ( 0.7%) 442 ( 99.3%) 445 (100.0%)
21 2 ( 0.4%) 483 ( 99.6%) 485 (100.0%)
22 1 ( 0.2%) 539 ( 99.8%) 540 (100.0%)
23 1 ( 0.1%) 666 ( 99.9%) 667 (100.0%)
24 6 ( 0.8%) 732 ( 99.2%) 738 (100.0%)
25 1 ( 0.1%) 772 ( 99.9%) 773 (100.0%)
26 3 ( 0.4%) 756 ( 99.6%) 759 (100.0%)
27 2 ( 0.2%) 819 ( 99.8%) 821 (100.0%)
28 5 ( 0.6%) 864 ( 99.4%) 869 (100.0%)
29 4 ( 0.5%) 872 ( 99.5%) 876 (100.0%)
30 16 ( 1.8%) 869 ( 98.2%) 885 (100.0%)
31 8 ( 1.0%) 800 ( 99.0%) 808 (100.0%)
32 9 ( 1.1%) 834 ( 98.9%) 843 (100.0%)
33 4 ( 0.5%) 782 ( 99.5%) 786 (100.0%)
34 9 ( 1.2%) 770 ( 98.8%) 779 (100.0%)
35 13 ( 1.6%) 781 ( 98.4%) 794 (100.0%)
36 8 ( 1.1%) 701 ( 98.9%) 709 (100.0%)
37 15 ( 2.0%) 718 ( 98.0%) 733 (100.0%)
38 12 ( 1.6%) 722 ( 98.4%) 734 (100.0%)
39 12 ( 1.6%) 718 ( 98.4%) 730 (100.0%)
40 15 ( 2.0%) 724 ( 98.0%) 739 (100.0%)
41 20 ( 2.8%) 700 ( 97.2%) 720 (100.0%)
42 20 ( 3.0%) 642 ( 97.0%) 662 (100.0%)
43 29 ( 3.7%) 745 ( 96.3%) 774 (100.0%)
44 21 ( 3.1%) 655 ( 96.9%) 676 (100.0%)
45 36 ( 4.8%) 720 ( 95.2%) 756 (100.0%)
46 32 ( 4.7%) 652 ( 95.3%) 684 (100.0%)
47 38 ( 5.1%) 704 ( 94.9%) 742 (100.0%)
48 36 ( 5.0%) 682 ( 95.0%) 718 (100.0%)
49 40 ( 5.4%) 699 ( 94.6%) 739 (100.0%)
50 44 ( 6.5%) 628 ( 93.5%) 672 (100.0%)
51 36 ( 5.8%) 582 ( 94.2%) 618 (100.0%)
52 41 ( 6.2%) 625 ( 93.8%) 666 (100.0%)
53 52 ( 8.7%) 546 ( 91.3%) 598 (100.0%)
54 45 ( 7.3%) 574 ( 92.7%) 619 (100.0%)
55 63 (10.0%) 565 ( 90.0%) 628 (100.0%)
56 64 (11.0%) 518 ( 89.0%) 582 (100.0%)
57 81 (15.1%) 456 ( 84.9%) 537 (100.0%)
58 83 (16.1%) 432 ( 83.9%) 515 (100.0%)
59 84 (17.2%) 405 ( 82.8%) 489 (100.0%)
60 94 (19.1%) 399 ( 80.9%) 493 (100.0%)
61 106 (24.6%) 325 ( 75.4%) 431 (100.0%)
62 72 (17.8%) 333 ( 82.2%) 405 (100.0%)
63 104 (25.6%) 302 ( 74.4%) 406 (100.0%)
64 97 (24.6%) 297 ( 75.4%) 394 (100.0%)
65 108 (26.0%) 307 ( 74.0%) 415 (100.0%)
66 87 (24.3%) 271 ( 75.7%) 358 (100.0%)
67 86 (27.7%) 225 ( 72.3%) 311 (100.0%)
68 83 (27.3%) 221 ( 72.7%) 304 (100.0%)
69 111 (35.2%) 204 ( 64.8%) 315 (100.0%)
70 109 (32.7%) 224 ( 67.3%) 333 (100.0%)
71 93 (37.1%) 158 ( 62.9%) 251 (100.0%)
72 95 (37.1%) 161 ( 62.9%) 256 (100.0%)
73 99 (39.1%) 154 ( 60.9%) 253 (100.0%)
74 84 (35.7%) 151 ( 64.3%) 235 (100.0%)
75 83 (39.3%) 128 ( 60.7%) 211 (100.0%)
76 74 (39.8%) 112 ( 60.2%) 186 (100.0%)
77 79 (38.9%) 124 ( 61.1%) 203 (100.0%)
78 66 (48.2%) 71 ( 51.8%) 137 (100.0%)
79 64 (40.3%) 95 ( 59.7%) 159 (100.0%)
80 73 (48.7%) 77 ( 51.3%) 150 (100.0%)
81 56 (37.3%) 94 ( 62.7%) 150 (100.0%)
82 54 (45.4%) 65 ( 54.6%) 119 (100.0%)
83 47 (49.0%) 49 ( 51.0%) 96 (100.0%)
84 49 (44.1%) 62 ( 55.9%) 111 (100.0%)
85 29 (42.6%) 39 ( 57.4%) 68 (100.0%)
86 29 (36.2%) 51 ( 63.7%) 80 (100.0%)
87 19 (32.2%) 40 ( 67.8%) 59 (100.0%)
88 17 (37.0%) 29 ( 63.0%) 46 (100.0%)
89 17 (43.6%) 22 ( 56.4%) 39 (100.0%)
90 12 (42.9%) 16 ( 57.1%) 28 (100.0%)
91 14 (42.4%) 19 ( 57.6%) 33 (100.0%)
92 5 (31.2%) 11 ( 68.8%) 16 (100.0%)
93 8 (42.1%) 11 ( 57.9%) 19 (100.0%)
94 2 (20.0%) 8 ( 80.0%) 10 (100.0%)
95 4 (44.4%) 5 ( 55.6%) 9 (100.0%)
96 2 (40.0%) 3 ( 60.0%) 5 (100.0%)
97 2 (33.3%) 4 ( 66.7%) 6 (100.0%)
98 0 ( 0.0%) 6 (100.0%) 6 (100.0%)
99 0 ( 0.0%) 2 (100.0%) 2 (100.0%)
101 0 ( 0.0%) 1 (100.0%) 1 (100.0%)
102 1 (50.0%) 1 ( 50.0%) 2 (100.0%)
105 0 ( 0.0%) 1 (100.0%) 1 (100.0%)
Total 3261 ( 8.8%) 33662 ( 91.2%) 36923 (100.0%)

Cross-Tabulation, Column Proportions

EDAD * situ

Data Frame: pos

situ DEF V Total
EDAD
0 1 ( 0.03%) 66 ( 0.196%) 67 ( 0.181%)
1 1 ( 0.03%) 48 ( 0.143%) 49 ( 0.133%)
2 0 ( 0.00%) 42 ( 0.125%) 42 ( 0.114%)
3 1 ( 0.03%) 44 ( 0.131%) 45 ( 0.122%)
4 1 ( 0.03%) 47 ( 0.140%) 48 ( 0.130%)
5 0 ( 0.00%) 39 ( 0.116%) 39 ( 0.106%)
6 0 ( 0.00%) 40 ( 0.119%) 40 ( 0.108%)
7 1 ( 0.03%) 44 ( 0.131%) 45 ( 0.122%)
8 0 ( 0.00%) 49 ( 0.146%) 49 ( 0.133%)
9 0 ( 0.00%) 44 ( 0.131%) 44 ( 0.119%)
10 1 ( 0.03%) 63 ( 0.187%) 64 ( 0.173%)
11 1 ( 0.03%) 59 ( 0.175%) 60 ( 0.163%)
12 2 ( 0.06%) 75 ( 0.223%) 77 ( 0.209%)
13 0 ( 0.00%) 90 ( 0.267%) 90 ( 0.244%)
14 0 ( 0.00%) 95 ( 0.282%) 95 ( 0.257%)
15 0 ( 0.00%) 150 ( 0.446%) 150 ( 0.406%)
16 1 ( 0.03%) 159 ( 0.472%) 160 ( 0.433%)
17 0 ( 0.00%) 166 ( 0.493%) 166 ( 0.450%)
18 2 ( 0.06%) 249 ( 0.740%) 251 ( 0.680%)
19 1 ( 0.03%) 321 ( 0.954%) 322 ( 0.872%)
20 3 ( 0.09%) 442 ( 1.313%) 445 ( 1.205%)
21 2 ( 0.06%) 483 ( 1.435%) 485 ( 1.314%)
22 1 ( 0.03%) 539 ( 1.601%) 540 ( 1.463%)
23 1 ( 0.03%) 666 ( 1.978%) 667 ( 1.806%)
24 6 ( 0.18%) 732 ( 2.175%) 738 ( 1.999%)
25 1 ( 0.03%) 772 ( 2.293%) 773 ( 2.094%)
26 3 ( 0.09%) 756 ( 2.246%) 759 ( 2.056%)
27 2 ( 0.06%) 819 ( 2.433%) 821 ( 2.224%)
28 5 ( 0.15%) 864 ( 2.567%) 869 ( 2.354%)
29 4 ( 0.12%) 872 ( 2.590%) 876 ( 2.373%)
30 16 ( 0.49%) 869 ( 2.582%) 885 ( 2.397%)
31 8 ( 0.25%) 800 ( 2.377%) 808 ( 2.188%)
32 9 ( 0.28%) 834 ( 2.478%) 843 ( 2.283%)
33 4 ( 0.12%) 782 ( 2.323%) 786 ( 2.129%)
34 9 ( 0.28%) 770 ( 2.287%) 779 ( 2.110%)
35 13 ( 0.40%) 781 ( 2.320%) 794 ( 2.150%)
36 8 ( 0.25%) 701 ( 2.082%) 709 ( 1.920%)
37 15 ( 0.46%) 718 ( 2.133%) 733 ( 1.985%)
38 12 ( 0.37%) 722 ( 2.145%) 734 ( 1.988%)
39 12 ( 0.37%) 718 ( 2.133%) 730 ( 1.977%)
40 15 ( 0.46%) 724 ( 2.151%) 739 ( 2.001%)
41 20 ( 0.61%) 700 ( 2.079%) 720 ( 1.950%)
42 20 ( 0.61%) 642 ( 1.907%) 662 ( 1.793%)
43 29 ( 0.89%) 745 ( 2.213%) 774 ( 2.096%)
44 21 ( 0.64%) 655 ( 1.946%) 676 ( 1.831%)
45 36 ( 1.10%) 720 ( 2.139%) 756 ( 2.048%)
46 32 ( 0.98%) 652 ( 1.937%) 684 ( 1.853%)
47 38 ( 1.17%) 704 ( 2.091%) 742 ( 2.010%)
48 36 ( 1.10%) 682 ( 2.026%) 718 ( 1.945%)
49 40 ( 1.23%) 699 ( 2.077%) 739 ( 2.001%)
50 44 ( 1.35%) 628 ( 1.866%) 672 ( 1.820%)
51 36 ( 1.10%) 582 ( 1.729%) 618 ( 1.674%)
52 41 ( 1.26%) 625 ( 1.857%) 666 ( 1.804%)
53 52 ( 1.59%) 546 ( 1.622%) 598 ( 1.620%)
54 45 ( 1.38%) 574 ( 1.705%) 619 ( 1.676%)
55 63 ( 1.93%) 565 ( 1.678%) 628 ( 1.701%)
56 64 ( 1.96%) 518 ( 1.539%) 582 ( 1.576%)
57 81 ( 2.48%) 456 ( 1.355%) 537 ( 1.454%)
58 83 ( 2.55%) 432 ( 1.283%) 515 ( 1.395%)
59 84 ( 2.58%) 405 ( 1.203%) 489 ( 1.324%)
60 94 ( 2.88%) 399 ( 1.185%) 493 ( 1.335%)
61 106 ( 3.25%) 325 ( 0.965%) 431 ( 1.167%)
62 72 ( 2.21%) 333 ( 0.989%) 405 ( 1.097%)
63 104 ( 3.19%) 302 ( 0.897%) 406 ( 1.100%)
64 97 ( 2.97%) 297 ( 0.882%) 394 ( 1.067%)
65 108 ( 3.31%) 307 ( 0.912%) 415 ( 1.124%)
66 87 ( 2.67%) 271 ( 0.805%) 358 ( 0.970%)
67 86 ( 2.64%) 225 ( 0.668%) 311 ( 0.842%)
68 83 ( 2.55%) 221 ( 0.657%) 304 ( 0.823%)
69 111 ( 3.40%) 204 ( 0.606%) 315 ( 0.853%)
70 109 ( 3.34%) 224 ( 0.665%) 333 ( 0.902%)
71 93 ( 2.85%) 158 ( 0.469%) 251 ( 0.680%)
72 95 ( 2.91%) 161 ( 0.478%) 256 ( 0.693%)
73 99 ( 3.04%) 154 ( 0.457%) 253 ( 0.685%)
74 84 ( 2.58%) 151 ( 0.449%) 235 ( 0.636%)
75 83 ( 2.55%) 128 ( 0.380%) 211 ( 0.571%)
76 74 ( 2.27%) 112 ( 0.333%) 186 ( 0.504%)
77 79 ( 2.42%) 124 ( 0.368%) 203 ( 0.550%)
78 66 ( 2.02%) 71 ( 0.211%) 137 ( 0.371%)
79 64 ( 1.96%) 95 ( 0.282%) 159 ( 0.431%)
80 73 ( 2.24%) 77 ( 0.229%) 150 ( 0.406%)
81 56 ( 1.72%) 94 ( 0.279%) 150 ( 0.406%)
82 54 ( 1.66%) 65 ( 0.193%) 119 ( 0.322%)
83 47 ( 1.44%) 49 ( 0.146%) 96 ( 0.260%)
84 49 ( 1.50%) 62 ( 0.184%) 111 ( 0.301%)
85 29 ( 0.89%) 39 ( 0.116%) 68 ( 0.184%)
86 29 ( 0.89%) 51 ( 0.152%) 80 ( 0.217%)
87 19 ( 0.58%) 40 ( 0.119%) 59 ( 0.160%)
88 17 ( 0.52%) 29 ( 0.086%) 46 ( 0.125%)
89 17 ( 0.52%) 22 ( 0.065%) 39 ( 0.106%)
90 12 ( 0.37%) 16 ( 0.048%) 28 ( 0.076%)
91 14 ( 0.43%) 19 ( 0.056%) 33 ( 0.089%)
92 5 ( 0.15%) 11 ( 0.033%) 16 ( 0.043%)
93 8 ( 0.25%) 11 ( 0.033%) 19 ( 0.051%)
94 2 ( 0.06%) 8 ( 0.024%) 10 ( 0.027%)
95 4 ( 0.12%) 5 ( 0.015%) 9 ( 0.024%)
96 2 ( 0.06%) 3 ( 0.009%) 5 ( 0.014%)
97 2 ( 0.06%) 4 ( 0.012%) 6 ( 0.016%)
98 0 ( 0.00%) 6 ( 0.018%) 6 ( 0.016%)
99 0 ( 0.00%) 2 ( 0.006%) 2 ( 0.005%)
101 0 ( 0.00%) 1 ( 0.003%) 1 ( 0.003%)
102 1 ( 0.03%) 1 ( 0.003%) 2 ( 0.005%)
105 0 ( 0.00%) 1 ( 0.003%) 1 ( 0.003%)
Total 3261 (100.00%) 33662 (100.000%) 36923 (100.000%)

Cross-Tabulation, Row Proportions

cintubado * situ

Data Frame: pos

situ DEF V Total
cintubado
SI 425 ( 84%) 82 (16%) 507 ( 100%)
NO 2538 ( 39%) 3966 (61%) 6504 ( 100%)
NO APLICA 274 ( 1%) 29614 (99%) 29888 ( 100%)
SE IGNORA 0 ( 0%) 0 ( 0%) 0 ( 0%)
NO ESPECIFICADO 24 ( 100%) 0 ( 0%) 24 ( 100%)
Total 3261 ( 9%) 33662 (91%) 36923 ( 100%)

Cross-Tabulation, Column Proportions

cintubado * situ

Data Frame: pos

situ DEF V Total
cintubado
SI 425 ( 13%) 82 ( 0%) 507 ( 1%)
NO 2538 ( 78%) 3966 ( 12%) 6504 ( 18%)
NO APLICA 274 ( 8%) 29614 ( 88%) 29888 ( 81%)
SE IGNORA 0 ( 0%) 0 ( 0%) 0 ( 0%)
NO ESPECIFICADO 24 ( 1%) 0 ( 0%) 24 ( 0%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Column Proportions

chipertension * situ

Data Frame: pos

situ DEF V Total
chipertension
SI 1104 ( 34%) 3805 ( 11%) 4909 ( 13%)
NO 2028 ( 62%) 28181 ( 84%) 30209 ( 82%)
<NA> 129 ( 4%) 1676 ( 5%) 1805 ( 5%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

chipertension * situ

Data Frame: pos

situ DEF V Total
chipertension
SI 1104 (22%) 3805 (78%) 4909 (100%)
NO 2028 ( 7%) 28181 (93%) 30209 (100%)
<NA> 129 ( 7%) 1676 (93%) 1805 (100%)
Total 3261 ( 9%) 33662 (91%) 36923 (100%)

Cross-Tabulation, Column Proportions

casma * situ

Data Frame: pos

situ DEF V Total
casma
SI 28 ( 1%) 562 ( 2%) 590 ( 2%)
NO 3111 ( 95%) 31439 ( 93%) 34550 ( 94%)
<NA> 122 ( 4%) 1661 ( 5%) 1783 ( 5%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

casma * situ

Data Frame: pos

situ DEF V Total
casma
SI 28 (5%) 562 (95%) 590 (100%)
NO 3111 (9%) 31439 (91%) 34550 (100%)
<NA> 122 (7%) 1661 (93%) 1783 (100%)
Total 3261 (9%) 33662 (91%) 36923 (100%)

Cross-Tabulation, Column Proportions

innusupr * situ

Data Frame: pos

situ DEF V Total
innusupr
SI 45 ( 1%) 176 ( 1%) 221 ( 1%)
NO 3093 ( 95%) 31821 ( 95%) 34914 ( 95%)
<NA> 123 ( 4%) 1665 ( 5%) 1788 ( 5%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

innusupr * situ

Data Frame: pos

situ DEF V Total
innusupr
SI 45 (20%) 176 (80%) 221 (100%)
NO 3093 ( 9%) 31821 (91%) 34914 (100%)
<NA> 123 ( 7%) 1665 (93%) 1788 (100%)
Total 3261 ( 9%) 33662 (91%) 36923 (100%)

Cross-Tabulation, Column Proportions

cardiovascular * situ

Data Frame: pos

situ DEF V Total
cardiovascular
SI 104 ( 3%) 282 ( 1%) 386 ( 1%)
NO 3033 ( 93%) 31707 ( 94%) 34740 ( 94%)
<NA> 124 ( 4%) 1673 ( 5%) 1797 ( 5%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

cardiovascular * situ

Data Frame: pos

situ DEF V Total
cardiovascular
SI 104 (27%) 282 (73%) 386 (100%)
NO 3033 ( 9%) 31707 (91%) 34740 (100%)
<NA> 124 ( 7%) 1673 (93%) 1797 (100%)
Total 3261 ( 9%) 33662 (91%) 36923 (100%)

Cross-Tabulation, Column Proportions

cobesidad * situ

Data Frame: pos

situ DEF V Total
cobesidad
SI 317 ( 10%) 2370 ( 7%) 2687 ( 7%)
NO 2815 ( 86%) 29631 ( 88%) 32446 ( 88%)
<NA> 129 ( 4%) 1661 ( 5%) 1790 ( 5%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

cobesidad * situ

Data Frame: pos

situ DEF V Total
cobesidad
SI 317 (12%) 2370 (88%) 2687 (100%)
NO 2815 ( 9%) 29631 (91%) 32446 (100%)
<NA> 129 ( 7%) 1661 (93%) 1790 (100%)
Total 3261 ( 9%) 33662 (91%) 36923 (100%)

Cross-Tabulation, Column Proportions

cdiabetes * situ

Data Frame: pos

situ DEF V Total
cdiabetes
SI 898 ( 28%) 2882 ( 9%) 3780 ( 10%)
NO 2236 ( 69%) 29090 ( 86%) 31326 ( 85%)
<NA> 127 ( 4%) 1690 ( 5%) 1817 ( 5%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

cdiabetes * situ

Data Frame: pos

situ DEF V Total
cdiabetes
SI 898 (24%) 2882 (76%) 3780 (100%)
NO 2236 ( 7%) 29090 (93%) 31326 (100%)
<NA> 127 ( 7%) 1690 (93%) 1817 (100%)
Total 3261 ( 9%) 33662 (91%) 36923 (100%)

Cross-Tabulation, Column Proportions

crenal_cronica * situ

Data Frame: pos

situ DEF V Total
crenal_cronica
SI 177 ( 5%) 229 ( 1%) 406 ( 1%)
NO 2956 ( 91%) 31765 ( 94%) 34721 ( 94%)
<NA> 128 ( 4%) 1668 ( 5%) 1796 ( 5%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

crenal_cronica * situ

Data Frame: pos

situ DEF V Total
crenal_cronica
SI 177 (44%) 229 (56%) 406 (100%)
NO 2956 ( 9%) 31765 (91%) 34721 (100%)
<NA> 128 ( 7%) 1668 (93%) 1796 (100%)
Total 3261 ( 9%) 33662 (91%) 36923 (100%)

Cross-Tabulation, Column Proportions

ctabaquismo * situ

Data Frame: pos

situ DEF V Total
ctabaquismo
SI 141 ( 4%) 1381 ( 4%) 1522 ( 4%)
NO 2995 ( 92%) 30603 ( 91%) 33598 ( 91%)
<NA> 125 ( 4%) 1678 ( 5%) 1803 ( 5%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

ctabaquismo * situ

Data Frame: pos

situ DEF V Total
ctabaquismo
SI 141 (9%) 1381 (91%) 1522 (100%)
NO 2995 (9%) 30603 (91%) 33598 (100%)
<NA> 125 (7%) 1678 (93%) 1803 (100%)
Total 3261 (9%) 33662 (91%) 36923 (100%)

Cross-Tabulation, Column Proportions

cuci * situ

Data Frame: pos

situ DEF V Total
cuci
SI 227 ( 7%) 183 ( 1%) 410 ( 1%)
NO 2736 ( 84%) 3865 ( 11%) 6601 ( 18%)
NO APLICA 274 ( 8%) 29614 ( 88%) 29888 ( 81%)
SE IGNORA 0 ( 0%) 0 ( 0%) 0 ( 0%)
NO ESPECIFICADO 24 ( 1%) 0 ( 0%) 24 ( 0%)
Total 3261 ( 100%) 33662 ( 100%) 36923 ( 100%)

Cross-Tabulation, Row Proportions

cuci * situ

Data Frame: pos

situ DEF V Total
cuci
SI 227 ( 55%) 183 (45%) 410 ( 100%)
NO 2736 ( 41%) 3865 (59%) 6601 ( 100%)
NO APLICA 274 ( 1%) 29614 (99%) 29888 ( 100%)
SE IGNORA 0 ( 0%) 0 ( 0%) 0 ( 0%)
NO ESPECIFICADO 24 ( 100%) 0 ( 0%) 24 ( 100%)
Total 3261 ( 9%) 33662 (91%) 36923 ( 100%)