Encuesta Nacional de Victimización y Percepción sobre Seguridad Pública 2013
Mexico, 2013
Get Microdata
Reference ID
MEX_2013_ENVIPE_v01_M
Producer(s)
Instituto Nacional de Estadística y Geografía, Dirección General de Estadísticas de Gobierno, Seguridad Pública y Justicia, Dirección General de Estadísticas Sociodemográficas
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
Page views
21312
Downloads
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Pérdidas económicas a consecuencia del delito (bp1_34)
Data file: tmod_vic
Overview
Valid:
39274
Invalid:
7843
Type:
Discrete
Decimal:
0
Start:
89
End:
95
Width:
7
Range:
-
Format:
Questions and instructions
Question pretext
a) si el código de respuesta es 1, 2, 3 ó 4 en 1.33 registre la cantidad b) registre en todas las casillas -“0”, si no considera pérdidas - “9”, no sabe / no responde c) excluya gastos en salud
Literal question
1.34 ¿En cuánto estima las pérdidas económicas a consecuencia del delito? (EXCLUYA GASTOS EN SALUD)
Categories
| Value | Category |
|---|---|
| 0 | No considera pérdidas |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 9 | |
| 10 | |
| 12 | |
| 14 | |
| 15 | |
| 16 | |
| 19 | |
| 20 | |
| 21 | |
| 25 | |
| 28 | |
| 30 | |
| 35 | |
| 37 | |
| 39 | |
| 40 | |
| 45 | |
| 50 | |
| 55 | |
| 56 | |
| 57 | |
| 60 | |
| 65 | |
| 70 | |
| 75 | |
| 80 | |
| 84 | |
| 85 | |
| 90 | |
| 95 | |
| 100 | |
| 110 | |
| 115 | |
| 119 | |
| 120 | |
| 125 | |
| 130 | |
| 135 | |
| 136 | |
| 140 | |
| 145 | |
| 150 | |
| 160 | |
| 170 | |
| 175 | |
| 180 | |
| 183 | |
| 185 | |
| 190 | |
| 200 | |
| 208 | |
| 210 | |
| 220 | |
| 225 | |
| 230 | |
| 235 | |
| 240 | |
| 241 | |
| 245 | |
| 250 | |
| 260 | |
| 270 | |
| 275 | |
| 280 | |
| 285 | |
| 290 | |
| 300 | |
| 320 | |
| 325 | |
| 330 | |
| 340 | |
| 350 | |
| 357 | |
| 360 | |
| 366 | |
| 370 | |
| 375 | |
| 380 | |
| 386 | |
| 390 | |
| 400 | |
| 410 | |
| 430 | |
| 450 | |
| 470 | |
| 480 | |
| 490 | |
| 500 | |
| 520 | |
| 530 | |
| 535 | |
| 540 | |
| 547 | |
| 550 | |
| 553 | |
| 560 | |
| 570 | |
| 580 | |
| 600 | |
| 630 | |
| 640 | |
| 650 | |
| 660 | |
| 680 | |
| 700 | |
| 713 | |
| 720 | |
| 730 | |
| 740 | |
| 750 | |
| 780 | |
| 800 | |
| 820 | |
| 830 | |
| 850 | |
| 860 | |
| 863 | |
| 870 | |
| 880 | |
| 890 | |
| 900 | |
| 920 | |
| 930 | |
| 950 | |
| 968 | |
| 970 | |
| 1000 | |
| 1020 | |
| 1050 | |
| 1080 | |
| 1100 | |
| 1115 | |
| 1150 | |
| 1160 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1365 | |
| 1375 | |
| 1400 | |
| 1410 | |
| 1437 | |
| 1450 | |
| 1500 | |
| 1530 | |
| 1550 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1720 | |
| 1746 | |
| 1750 | |
| 1800 | |
| 1860 | |
| 1900 | |
| 1950 | |
| 1995 | |
| 2000 | |
| 2100 | |
| 2150 | |
| 2200 | |
| 2220 | |
| 2275 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2870 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3010 | |
| 3050 | |
| 3100 | |
| 3200 | |
| 3279 | |
| 3300 | |
| 3350 | |
| 3400 | |
| 3500 | |
| 3550 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3850 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4180 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5650 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6100 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 7000 | |
| 7100 | |
| 7200 | |
| 7300 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7740 | |
| 7800 | |
| 7900 | |
| 7970 | |
| 8000 | |
| 8500 | |
| 8900 | |
| 9000 | |
| 9400 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 9800 | |
| 9850 | |
| 10000 | |
| 10200 | |
| 10300 | |
| 10500 | |
| 10700 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 11600 | |
| 11800 | |
| 12000 | |
| 12100 | |
| 12500 | |
| 13000 | |
| 13500 | |
| 13800 | |
| 14000 | |
| 14300 | |
| 14500 | |
| 14800 | |
| 15000 | |
| 15400 | |
| 16000 | |
| 16400 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 19500 | |
| 19735 | |
| 20000 | |
| 20475 | |
| 21000 | |
| 21600 | |
| 22000 | |
| 22200 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 31400 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 33500 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36250 | |
| 36500 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 55000 | |
| 56000 | |
| 58000 | |
| 58500 | |
| 60000 | |
| 61000 | |
| 62000 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 67000 | |
| 68000 | |
| 70000 | |
| 71000 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 80000 | |
| 83000 | |
| 85000 | |
| 90000 | |
| 95000 | |
| 96000 | |
| 100000 | |
| 101000 | |
| 104000 | |
| 110000 | |
| 115000 | |
| 120000 | |
| 123000 | |
| 124000 | |
| 125000 | |
| 130000 | |
| 132000 | |
| 135000 | |
| 140000 | |
| 150000 | |
| 156000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 185000 | |
| 190000 | |
| 200000 | |
| 215000 | |
| 217000 | |
| 220000 | |
| 240000 | |
| 250000 | |
| 260000 | |
| 270000 | |
| 280000 | |
| 282000 | |
| 285000 | |
| 300000 | |
| 350000 | |
| 400000 | |
| 490000 | |
| 500000 | |
| 600000 | |
| 650000 | |
| 700000 | |
| 800000 | |
| 820000 | |
| 1000000 | |
| 1200000 | |
| 1500000 | |
| 2000000 | |
| 3000000 | |
| 3500000 | |
| 5000000 | |
| 9999999 | No especificado |
| Sysmiss |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Description
Definition
Estimación del monto de las pérdidas económicas que sufrió el informante derivado del delito del cual fue objeto.
Universe
todos los delitos que en bp1_33 hayan contestado código 1, 2, 3 ó 4, excepto vandalismo (bpcod=03).