Encuesta Nacional de Calidad de Vida 1997
Colombia, 1997
Get Microdata
Reference ID
COL_1997_ENCV_v01_M
Producer(s)
Dirección de Metodología y Producción Estadística - DIMPE
Created on
Dec 19, 2014
Last modified
Mar 29, 2019
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- Data files
- AGRO_REG2
- AGRO_REG3
- AGRO_REG4
- AGRO_REG5
- AGRO_REG6
- AGRO_REG7
- AGRO_REG8
- AGRO_REG9
- AGRO_REG10
- AGRO_REG11
- AGRO_REG12
- AGRO_REG13
- AGRO_REG14
- AGRO_REG15
- AGRO_REG16
- CONDICIO
- GASTOS1
- GASTOS2
- GASTOS3
- GASTOS4
- GASTOS5
- GASTOS6
- NEGOCIOS1
- NEGOCIOS2
- PERSONA
- PRECIOS1
- PRECIOS2
- REFORMA
- RURAL
- URBANA
- VIVIENDA
CUAL FUE EL VALOR TOTAL DEL PRODUCTO VENDIDO DURANTE LOS ULTIMOS 12 MESES? (M41)
Data file: AGRO_REG10
Overview
Valid:
2250
Invalid:
2341
Type:
Discrete
Decimal:
0
Start:
62
End:
70
Width:
9
Format:
Questions and instructions
Question pretext
En total, ¿que cantidad de____ vendieron durante los ULTIMOS DOCE MESES?
Cantidad Vendida ____
Cantidad Vendida ____
Literal question
¿Cuál fue el valor total del producto vendido durante los ULTIMOS DOCE MESES?
Categories
| Value | Category |
|---|---|
| 40 | |
| 55 | |
| 98 | |
| 99 | |
| 200 | |
| 285 | |
| 450 | |
| 1000 | |
| 1800 | |
| 2000 | |
| 2500 | |
| 3000 | |
| 3500 | |
| 3800 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 5600 | |
| 6000 | |
| 6200 | |
| 6250 | |
| 7000 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 9000 | |
| 10000 | |
| 10500 | |
| 12000 | |
| 12500 | |
| 13750 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18200 | |
| 18750 | |
| 19400 | |
| 19500 | |
| 19800 | |
| 20000 | |
| 21000 | |
| 21250 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 28800 | |
| 29500 | |
| 30000 | |
| 32000 | |
| 32400 | |
| 33000 | |
| 35000 | |
| 36000 | |
| 37500 | |
| 38000 | |
| 38500 | |
| 39600 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 52000 | |
| 52500 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59700 | |
| 60000 | |
| 61250 | |
| 62400 | |
| 62500 | |
| 63000 | |
| 64000 | |
| 64800 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 67500 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 78000 | |
| 80000 | |
| 81000 | |
| 82500 | |
| 84000 | |
| 84500 | |
| 85000 | |
| 87500 | |
| 88000 | |
| 90000 | |
| 91000 | |
| 91200 | |
| 95000 | |
| 96000 | |
| 96360 | |
| 99000 | |
| 100000 | |
| 102000 | |
| 105000 | |
| 106000 | |
| 106250 | |
| 108000 | |
| 109800 | |
| 110000 | |
| 112000 | |
| 112500 | |
| 114286 | |
| 117000 | |
| 118300 | |
| 120000 | |
| 121800 | |
| 122500 | |
| 124000 | |
| 125000 | |
| 125300 | |
| 128000 | |
| 128800 | |
| 130000 | |
| 132000 | |
| 135000 | |
| 137500 | |
| 140000 | |
| 144000 | |
| 150000 | |
| 154000 | |
| 156000 | |
| 157000 | |
| 157500 | |
| 160000 | |
| 162000 | |
| 165000 | |
| 168000 | |
| 170000 | |
| 175000 | |
| 178000 | |
| 180000 | |
| 182000 | |
| 184000 | |
| 187500 | |
| 188250 | |
| 190000 | |
| 192000 | |
| 195000 | |
| 198000 | |
| 198750 | |
| 200000 | |
| 203000 | |
| 204000 | |
| 205000 | |
| 206000 | |
| 207000 | |
| 210000 | |
| 211200 | |
| 212000 | |
| 215000 | |
| 216000 | |
| 220000 | |
| 220500 | |
| 224000 | |
| 225000 | |
| 226000 | |
| 228000 | |
| 230000 | |
| 231000 | |
| 235000 | |
| 240000 | |
| 241040 | |
| 245000 | |
| 250000 | |
| 252000 | |
| 255000 | |
| 256000 | |
| 260000 | |
| 270000 | |
| 274000 | |
| 276000 | |
| 280000 | |
| 280500 | |
| 282000 | |
| 285000 | |
| 290000 | |
| 300000 | |
| 304000 | |
| 309000 | |
| 310000 | |
| 312000 | |
| 312800 | |
| 315000 | |
| 319000 | |
| 320000 | |
| 323500 | |
| 324000 | |
| 325000 | |
| 330000 | |
| 335000 | |
| 336000 | |
| 337500 | |
| 339500 | |
| 340000 | |
| 342000 | |
| 345000 | |
| 348000 | |
| 350000 | |
| 352000 | |
| 360000 | |
| 370000 | |
| 372000 | |
| 374000 | |
| 375000 | |
| 378000 | |
| 380000 | |
| 384000 | |
| 385000 | |
| 390000 | |
| 400000 | |
| 405000 | |
| 410000 | |
| 418000 | |
| 420000 | |
| 429000 | |
| 430000 | |
| 432000 | |
| 440000 | |
| 450000 | |
| 455000 | |
| 466000 | |
| 468000 | |
| 478000 | |
| 480000 | |
| 488000 | |
| 490000 | |
| 495000 | |
| 500000 | |
| 502500 | |
| 506000 | |
| 510000 | |
| 515625 | |
| 516000 | |
| 520000 | |
| 525000 | |
| 530000 | |
| 534000 | |
| 539000 | |
| 540000 | |
| 550000 | |
| 560000 | |
| 562500 | |
| 564000 | |
| 570000 | |
| 575000 | |
| 576000 | |
| 580000 | |
| 582000 | |
| 585000 | |
| 588000 | |
| 590000 | |
| 594000 | |
| 595000 | |
| 600000 | |
| 608000 | |
| 615000 | |
| 616000 | |
| 620000 | |
| 625000 | |
| 630000 | |
| 634000 | |
| 640000 | |
| 647500 | |
| 650000 | |
| 660000 | |
| 672000 | |
| 675000 | |
| 688000 | |
| 690000 | |
| 700000 | |
| 706500 | |
| 720000 | |
| 728571 | |
| 730000 | |
| 738000 | |
| 740000 | |
| 741600 | |
| 748000 | |
| 750000 | |
| 756000 | |
| 757375 | |
| 760000 | |
| 768000 | |
| 774000 | |
| 780000 | |
| 784000 | |
| 792000 | |
| 800000 | |
| 804000 | |
| 825000 | |
| 840000 | |
| 848000 | |
| 850000 | |
| 860000 | |
| 864000 | |
| 870000 | |
| 875000 | |
| 880000 | |
| 900000 | |
| 912000 | |
| 912500 | |
| 920000 | |
| 928125 | |
| 930000 | |
| 937000 | |
| 940000 | |
| 944000 | |
| 950000 | |
| 960000 | |
| 969000 | |
| 975000 | |
| 980000 | |
| 990000 | |
| 1000000 | |
| 1020000 | |
| 1032000 | |
| 1034000 | |
| 1040000 | |
| 1050000 | |
| 1080000 | |
| 1092000 | |
| 1100000 | |
| 1120000 | |
| 1150000 | |
| 1164000 | |
| 1200000 | |
| 1230000 | |
| 1240000 | |
| 1248000 | |
| 1250000 | |
| 1253911 | |
| 1260000 | |
| 1272000 | |
| 1280000 | |
| 1300000 | |
| 1307200 | |
| 1320000 | |
| 1330000 | |
| 1350000 | |
| 1360000 | |
| 1365000 | |
| 1375000 | |
| 1380000 | |
| 1400000 | |
| 1430000 | |
| 1440000 | |
| 1450000 | |
| 1476000 | |
| 1485000 | |
| 1500000 | |
| 1512000 | |
| 1525000 | |
| 1550000 | |
| 1552500 | |
| 1560000 | |
| 1575000 | |
| 1584000 | |
| 1600000 | |
| 1610000 | |
| 1620000 | |
| 1700000 | |
| 1710000 | |
| 1720000 | |
| 1750000 | |
| 1760000 | |
| 1786000 | |
| 1800000 | |
| 1820000 | |
| 1825000 | |
| 1900000 | |
| 1920000 | |
| 1944000 | |
| 1950000 | |
| 1960000 | |
| 1980000 | |
| 2000000 | |
| 2025000 | |
| 2040000 | |
| 2080000 | |
| 2100000 | |
| 2116000 | |
| 2160000 | |
| 2190000 | |
| 2200000 | |
| 2204000 | |
| 2212500 | |
| 2214000 | |
| 2240000 | |
| 2250000 | |
| 2300000 | |
| 2310000 | |
| 2340000 | |
| 2400000 | |
| 2437500 | |
| 2440000 | |
| 2441000 | |
| 2450000 | |
| 2500000 | |
| 2520000 | |
| 2550000 | |
| 2560000 | |
| 2600000 | |
| 2640000 | |
| 2688000 | |
| 2700000 | |
| 2720000 | |
| 2750000 | |
| 2755000 | |
| 2800000 | |
| 2835000 | |
| 2880000 | |
| 2925000 | |
| 2940000 | |
| 2960000 | |
| 2970000 | |
| 3000000 | |
| 3180000 | |
| 3190000 | |
| 3200000 | |
| 3230000 | |
| 3250000 | |
| 3300000 | |
| 3400000 | |
| 3410000 | |
| 3500000 | |
| 3510000 | |
| 3600000 | |
| 3680000 | |
| 3720000 | |
| 3750000 | |
| 3800000 | |
| 3885000 | |
| 3900000 | |
| 3960000 | |
| 4000000 | |
| 4200000 | |
| 4306500 | |
| 4320000 | |
| 4334000 | |
| 4400000 | |
| 4420000 | |
| 4500000 | |
| 4560000 | |
| 4760000 | |
| 4770000 | |
| 4800000 | |
| 4884000 | |
| 4900000 | |
| 4950000 | |
| 5000000 | |
| 5250000 | |
| 5400000 | |
| 5550000 | |
| 5600000 | |
| 5640000 | |
| 5700000 | |
| 5800000 | |
| 5880000 | |
| 5940000 | |
| 6000000 | |
| 6200000 | |
| 6500000 | |
| 6515520 | |
| 6880000 | |
| 7000000 | |
| 7050000 | |
| 7200000 | |
| 7420000 | |
| 7500000 | |
| 7600000 | |
| 7800000 | |
| 8000000 | |
| 8100000 | |
| 8400000 | |
| 8568000 | |
| 9000000 | |
| 9240000 | |
| 9600000 | |
| 9875000 | |
| 10000000 | |
| 10800000 | |
| 11000000 | |
| 12000000 | |
| 12690000 | |
| 13282500 | |
| 13785000 | |
| 14000000 | |
| 14580000 | |
| 15000000 | |
| 16500000 | |
| 16800000 | |
| 17760000 | |
| 18000000 | |
| 20000000 | |
| 21100000 | |
| 22500000 | |
| 24000000 | |
| 26000000 | |
| 30000000 | |
| 35200000 | |
| 38000000 | |
| 48000000 | |
| 65800000 | |
| 75000000 | |
| 90000000 | |
| 96000000 | |
| 104000000 | |
| 144000000 | |
| 300000000 | |
| 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.
Interviewer instructions
El objetivo de esta pregunta es determinar el ingreso global percibido por el hogar derivado de la explotación agrícola.
Question post text
En total, ¿qué cantidad de_________dejaron para la alimentación del hogar o de los trabajadores durante los ULTIMOS DOCE MESES?
Unidad de medida
1 Toneladas
2 Carga
3 Bulto
4 Arroba
5 Quintal
6 Libras
7 Unidades
8 Otra, ¿cuál?________
Unidad de medida
1 Toneladas
2 Carga
3 Bulto
4 Arroba
5 Quintal
6 Libras
7 Unidades
8 Otra, ¿cuál?________
Description
Universe
El universo de estudio esta conformado por la población civil no institucional residente en todo el territorio nacional.
Va dirigida a todos los hogares.
Va dirigida a todos los hogares.
Others
Security
El acceso a microdatos y Mam-up se considera como de tratamiento especial respecto a la reserva estadística por tanto estará sujeto a la reglamentación que para el efecto defina el Comité de Aseguramiento de la reserva estadística. Resolución 173 de 2008.